Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Experience Level
Entry Level
About the job
Join Brainwonders as an AI Engineer Intern, where you will engage with cutting-edge technologies including Large Language Models (LLMs) and AI Agents. This internship offers a fantastic opportunity to work with AWS cloud services while collaborating on innovative projects that could lead to a full-time position.
Focus Areas: Explore and develop applications utilizing Large Language Models (LLMs), AI Agents, Machine Learning fundamentals, and Cloud Deployment with AWS.
Responsibilities: • Design, build, and test applications and workflows based on LLMs. • Experiment with AI agent frameworks such as LangGraph and CrewAI. • Adapt and implement transformer models like LLaMA and Mistral for specific domain tasks. • Deploy models on AWS platforms including Lambda, EC2, and SageMaker. • Collaborate on prompt engineering, fine-tuning, and optimizing pipelines.
Join Brainwonders as an AI Engineer Intern, where you will engage with cutting-edge technologies including Large Language Models (LLMs) and AI Agents. This internship offers a fantastic opportunity to work with AWS cloud services while collaborating on innovative projects that could lead to a full-time position.🧠 Focus Areas:Explore and develop applications…
Key ResponsibilitiesSeeking candidates with 7-10 years of experience specializing in DevOps and AWS.Architect, develop, and sustain cloud-native applications utilizing AWS serverless services such as Lambda, API Gateway, DynamoDB, SQS, Cognito, and CloudWatch.Oversee and manage the AI/ML Platform on AWS.Create infrastructure as code leveraging AWS CDK or equivalent technologies like Terraform or CloudFormation.Ability to construct both front-end and back-end solutions.Experience with financial services is required.Contribute to the development of event-driven and microservices architectures.Engage with cross-functional teams, enhance DevOps practices (CI/CD pipelines, configuration management), and resolve issues across the technology stack.
Mactores stands at the forefront of delivering innovative data platform solutions to businesses. Since 2008, we have empowered organizations to enhance their operational efficiency through cutting-edge automation, providing comprehensive, agile, and secure data solutions. Our collaborative approach ensures that clients receive tailored strategies for navigating their digital transformation journeys, whether through assessments, migrations, or modernization efforts.We are on the lookout for a highly skilled Senior DevOps Engineer to spearhead complex cloud modernization projects, particularly large-scale migrations from VMware to AWS. In this role, you will be responsible for architecting secure, scalable, and production-ready AWS environments. You will design Landing Zones, build and optimize EKS-based container platforms, implement Infrastructure as Code using Terraform and CloudFormation, and enhance automation across provisioning, deployment, monitoring, and operational processes. Your hands-on experience with CI/CD pipelines, configuration management, cloud-native architectures, and enterprise-level security, high availability, and disaster recovery strategies will be instrumental. This role calls for strong technical leadership, collaboration with cross-functional teams, and mentorship of junior engineers while shaping long-term infrastructure strategies. If you thrive in dynamic environments and are passionate about tackling complex cloud challenges with a dedicated team committed to excellence and innovation, then Mactores is the perfect fit for you.
Role OverviewJoin our dynamic team as an AWS Data Engineer! We are looking for a talented individual with 4–7 years of experience in data engineering to architect and develop cloud-native data pipelines. Your innovative contributions will play a vital role in enhancing our data engineering practices, fostering collaboration across teams, and delivering secure, scalable, and high-quality data solutions. This position is essential for generating real-time insights and advancing our mission of optimizing enterprise operations.Key ResponsibilitiesDesign, test, deploy, orchestrate, monitor, and troubleshoot cloud-based data pipelines and automation workflows, adhering to best practices and security standards.Collaborate with data scientists, architects, ETL developers, and business stakeholders to capture, format, and integrate data from internal systems, external sources, and data warehouses.Investigate and assess batch and streaming data technologies to gauge their business impact and relevance to current use cases.Contribute to defining and continuously enhancing data engineering processes and methodologies.Ensure data integrity, accuracy, and security across all corporate data assets.Uphold high data quality standards for Data Services, Analytics, and Master Data Management.Create automated, scalable, and test-driven data pipelines.Utilize software development practices, including Git-based version control, CI/CD, and release management, to enhance AWS CI/CD pipelines.Partner with DevOps engineers and architects to refine DataOps tools and frameworks.
Join Brainwonders as an AI Research Engineer Intern and immerse yourself in cutting-edge research! In this role, you will:Develop and implement advanced machine learning algorithms to analyze brain data and predict cognitive functions.Collaborate with a dynamic research team to design experiments and gather data for comprehensive analysis.Create innovative data visualization tools to effectively communicate complex findings.Contribute to the development of AI models aimed at personalized learning and educational assessment.Conduct thorough literature reviews and remain informed about the latest advancements in AI and neuroscience.Present research findings to the team and play a key role in contributing to scientific publications.Engage in brainstorming sessions, bringing forth innovative ideas to propel the company’s research initiatives.If you are fervent about utilizing AI to unveil the mysteries of the brain and enhance educational outcomes, this internship presents an incredible opportunity. Apply today to be a part of our mission to transform how we understand and nurture human potential!
Mactores is a reputable leader in providing cutting-edge data platform solutions to businesses. Since its inception in 2008, Mactores has been dedicated to empowering organizations to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are efficient, secure, and agile. Our team collaborates closely with clients to strategize, navigate, and fast-track their digital transformation journeys through detailed assessments, migrations, and modernization efforts.As a member of our DevOps engineering team, you will oversee substantial customer deployments encompassing both Linux and Windows Administration, along with managing Large Enterprise Applications and Big Data Workloads. You will possess a deep understanding of both business and technology, supported by professional services experience and client-facing skills. Your enthusiasm for cloud deployment best practices will be crucial in meeting and exceeding customer expectations. Together, we will construct scalable and efficient cloud infrastructure.Your responsibilities will include implementing monitoring solutions for automated system health checks, building our Continuous Integration (CI) pipeline, and mentoring the team in DevOps methodologies. If you thrive on solving challenges with your skills, we invite you to join Team Mactores. Our office culture is casual and enjoyable, steering clear of rigid corporate norms, focusing on productivity and creativity while allowing you to be your authentic self.
Join Mactores, a pioneering leader in modern data platform solutions. Since 2008, we have empowered enterprises to enhance their value through robust automation, delivering comprehensive End-to-End Data Solutions that are agile, secure, and automated. Our collaborative approach helps clients strategize and navigate their digital transformation journeys through assessments, migration, and modernization initiatives.As an AWS DevOps Engineer, you will be a key member of our DevOps team, responsible for managing extensive customer deployments by applying DevOps principles such as Infrastructure as Code, Continuous Integration/Continuous Deployment (CI/CD), and Automated Monitoring for large enterprise applications and Big Data workloads. Your hands-on technical expertise combined with client-facing skills will be crucial as you implement best practices in cloud deployment, ensuring that customer expectations are not only set but met with precision.You will also be tasked with implementing monitoring solutions for automated system health checks, building our Continuous Integration pipeline, and mentoring the team on DevOps best practices. If you are excited about solving complex problems with your skills, we invite you to join Team Mactores. We offer a casual and fun office environment that fosters creativity and productivity while allowing you to be your authentic self.
Mactores is a leading provider of modern data platform solutions, dedicated to empowering businesses since 2008. Our mission is to help organizations unlock their potential through innovative automation and comprehensive End-to-End Data Solutions that are agile, secure, and tailored to meet their unique needs. We partner with clients to develop strategies that drive successful digital transformations, whether through assessments, migrations, or modernization efforts.We are currently seeking a Senior AWS DevOps Engineer who possesses a robust expertise in Infrastructure as Code (IaC), configuration management, continuous integration (CI), continuous deployment (CD), and automated monitoring of big data workloads, enterprise applications, and databases. In this role, you will bring hands-on technical proficiency and a strong background in professional services, along with exceptional client-facing skills.If you are driven by a passion for cloud deployment best practices and committed to exceeding customer expectations, we invite you to join Team Mactores. Enjoy a relaxed and vibrant office environment that fosters creativity and productivity while allowing you to be your authentic self as part of a world-class team.
Mactores stands as a prominent figure in delivering cutting-edge data platform solutions tailored for businesses. Since its inception in 2008, Mactores has empowered organizations to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are automated, agile, and secure. We partner with our clients to strategize, navigate, and accelerate their digital transformation journey through assessments, migrations, and modernization initiatives.Mactores is on the lookout for a talented Senior AWS Data Engineer to join our dynamic team. The successful candidate will possess substantial expertise in PySpark and SQL, with a proven track record in building data pipelines utilizing Amazon EMR or Amazon Glue. Additionally, experience in data modeling and end-user querying is essential, having worked with platforms such as Amazon Redshift or Snowflake, Amazon Athena, and Presto. Proficiency in orchestration tools like Airflow is also required.
Mactores is a pioneering leader in delivering state-of-the-art data platform solutions. Since its inception in 2008, Mactores has empowered businesses to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are automated, agile, and secure. We partner with clients to strategize, navigate, and expedite their digital transformation journey through assessments, migrations, and modernization efforts.We are in search of a skilled Senior AWS Data Engineer to join our dynamic team. The ideal candidate will possess significant expertise in PySpark and SQL, with hands-on experience in building data pipelines utilizing Amazon EMR or Amazon Glue. A strong background in data modeling and user querying with Amazon Redshift or Snowflake, Amazon Athena, and Presto is essential. Additionally, candidates should be proficient in orchestration using Airflow.
Role Overview Version 1 is hiring an AWS DevOps Engineer for its Mumbai office. This role centers on building and maintaining cloud infrastructure with AWS tools and services. The position plays a key part in automating workflows, improving operational processes, and supporting digital solutions across the business. What You Will Do Implement and manage AWS-based cloud infrastructure Drive automation to streamline deployment and operations Work with cross-functional teams to deliver scalable, reliable applications Support the Digital, Data, and Cloud team in enhancing system performance Collaboration This position works closely with colleagues across technical and business teams to ensure cloud environments remain stable, secure, and efficient.
Role: AI Prompt EngineerExperience Required: 5-9 yearsLocation: Mumbai (Worli)Job Overview:As an AI Prompt Engineer, you will be pivotal in designing, developing, and optimizing prompts for AI and LLM applications to guarantee high-quality and contextually relevant outputs. You will work closely with cross-functional teams, including product, engineering, and data analytics, to seamlessly integrate prompt strategies into our applications and workflows.Key Responsibilities:Develop and enhance prompts for various AI applications to improve output quality.Collaborate with teams to implement effective prompt strategies.Perform A/B testing to assess prompt performance across diverse scenarios.Maintain a comprehensive repository of reusable prompt templates and frameworks.Stay abreast of the latest advancements in generative AI and prompt engineering techniques.Analyze generated outputs, troubleshoot issues, and recommend prompt modifications for ongoing improvements.
Join our dynamic team at Sia Partners as a Staff Generative AI Engineer, where you will play a pivotal role in leading the design, development, and deployment of cutting-edge AI-driven platforms and products. This position combines hands-on technical expertise with architectural leadership and client-facing consulting responsibilities.Key ResponsibilitiesArchitect, design, and develop scalable backend systems that integrate machine learning and Generative AI models into high-performance applications.Oversee the complete delivery of Generative AI solutions, including LLM-based systems, RAG architectures, and agentic workflows, from initial experimentation to final production.Design and implement advanced agentic AI systems that facilitate multi-step reasoning, tool invocation, memory management, and orchestration.Utilize a robust understanding of machine learning techniques such as regression, classification, clustering, decision trees, neural networks, and probabilistic models in your solution design and implementation.Collaborate closely with data scientists to train, fine-tune, evaluate, and deploy ML/AI models, ensuring their reliability and performance at scale.Manage structured and unstructured data sources, creating efficient data pipelines and storage strategies.Lead the development of backend microservices and APIs that support AI-driven applications.Guarantee the production readiness of AI systems, focusing on performance optimization, monitoring, cost management, and security.Define cloud-native deployment strategies for AI solutions on major platforms such as AWS, Azure, and GCP.Establish deployment standards utilizing containerization technologies such as Docker and Kubernetes in both development and production environments.Oversee data architecture, performance, and integrity across SQL and NoSQL databases, including PostgreSQL and MongoDB.Implement monitoring and logging frameworks to ensure the reliability, observability, and operational excellence of AI systems.Lead the development of AI-powered SaaS products within the Heka.ai platforms.Tactical & Cross-Team LeadershipFunction as the Directly Responsible Individual (DRI) for major architectural initiatives and blueprints, owning design documentation and migration plans.Maintain responsibility for triage and incident prioritization, advocating for severity and priority to stakeholders.Serve as the maintainer/owner for multiple critical repositories, tech stacks, or services.Mentor engineers formally through code reviews, pairing, and career coaching.Break down large projects into manageable epics and tasks for efficient execution.
sia is looking for a Generative AI Engineer to join the team in Mumbai. The work centers on building and refining generative models, applying the latest artificial intelligence methods to solve complex problems and create new solutions. Key responsibilities Develop and enhance generative AI models for various projects Use advanced machine learning techniques in practical, real-world scenarios Work closely with colleagues to deliver creative technical solutions Location This role is based in Mumbai.
Join Capco as a Generative AI - Prompt Engineer and contribute to the development of cutting-edge AI solutions. In this role, you'll collaborate with a dynamic team to create and optimize prompts that drive innovative AI outputs.
Join Quantanite as a Senior AI Engineer and be at the forefront of technological innovation. In this role, you will leverage your expertise in artificial intelligence to develop advanced solutions that drive efficiency and enhance decision-making processes. You will collaborate with a talented team of engineers and data scientists to create cutting-edge applications that meet the needs of our clients.
Full-time|Remote|Remote — Mumbai, Maharashtra, India
About the RoleJoin our dynamic team at zoneit as an AI Engineer specializing in voice technologies. In this role, you will leverage your expertise to design, develop, and implement cutting-edge voice-driven applications. Your responsibilities will include working on speech recognition, voice synthesis, and advanced conversational AI systems, integrating them seamlessly into enterprise applications, and enriching user interactions with natural, human-like communication.Key Responsibilities Develop and enhance automatic speech recognition (ASR) and text-to-speech (TTS) systems to improve efficiency and accuracy. Design and implement voice-enabled applications, chatbots, and virtual assistants that provide exceptional user experiences. Apply NLP/NLU models to accurately understand intent and context within conversations. Integrate voice technologies with various enterprise platforms, including ERP, CRM, contact centers, and mobile applications. Utilize APIs from platforms like Google Speech, AWS Lex/Polly, and Azure Cognitive Services, as well as open-source voice frameworks. Collaborate with cross-functional teams, including AI, product management, engineering, and UX, to deliver scalable and innovative solutions. Focus on optimizing accuracy, minimizing latency, and ensuring multilingual capabilities for voice applications. Stay informed on the latest advancements in Generative AI for voice, including voice cloning, emotion modeling, and real-time synthesis. Skills & Experience Required Demonstrable experience as an AI/ML Engineer with a strong focus on voice technologies. In-depth knowledge of speech-to-text (STT), text-to-speech (TTS), NLP, and NLU methodologies. Practical experience with frameworks like DeepSpeech, Kaldi, Whisper, Rasa, or Dialogflow. Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow and PyTorch. Experience working with cloud-based AI services (AWS, GCP, Azure) for effective voice integration. Strong understanding of audio signal processing and real-time optimization techniques. Ability to architect scalable solutions for voice-enabled enterprise applications. Preferred Qualifications Experience in developing multilingual voice AI systems. Knowledge of emotion detection, sentiment analysis, and personalization techniques in voice AI. Familiarity with contact center AI solutions such as Genesys, Five9, or Twilio Flex. A background in linguistics, HCI, or cognitive science is a plus. A Bachelor's or Master's degree in Computer Science, AI, or a related field is preferred. Why Join Us? Be part of innovative projects that are redefining enterprise interactions through advanced voice AI technologies. ...
Exciting Opportunity:TSS Consultancy Pvt Ltd is on the lookout for a talented and experienced Lead Software Engineer specializing in AI to lead our innovative AI engineering team. This crucial role involves overseeing the design, development, and implementation of advanced AI solutions across a variety of sectors, including computer vision, natural language processing (NLP), and predictive analytics. You will be responsible for architecting scalable AI systems, advocating for MLOps best practices, and mentoring a skilled team of engineers. This is a full-time position based in one of our key technology hubs: Mumbai, Rajkot, or Ahmedabad, reporting directly to the Head of Engineering / CTO.Key Responsibilities:AI Solution Development: Direct the entire lifecycle of AI solutions, from conception to deployment, focusing on computer vision, NLP, and predictive analytics.Innovate in use cases like image enhancement, document intelligence, entity extraction, and automated data validation.Utilize advanced deep learning techniques, transformer architectures, and foundation model fine-tuning for scalable real-world applications.Architect robust AI services, integrating them seamlessly via REST APIs and microservices.Investigate and assess emerging technologies in AI, including generative AI, multilingual AI, and biometric verification for potential applications.MLOps and AI Engineering:Develop and manage comprehensive CI/CD pipelines tailored for model training, deployment, and testing.Automate model monitoring, retraining workflows, and ensure traceability for models and datasets.Utilize MLOps tools such as MLflow, Kubeflow, Airflow, Docker, and Kubernetes for effective production deployment and management of AI systems.NLP and Language Model Applications:Oversee the research, development, and proof-of-concept (PoC) projects for domain-specific language models.Implement cutting-edge transformer architectures for complex NLP tasks, including text summarization, semantic search, and question-answering (QA).Fine-tune large language models (LLMs) to derive insights from unstructured data sources.Strategically incorporate NLP modules into core business processes and real-time operational systems.Leadership in Engineering:Mentor and guide a team of proficient machine learning engineers and software developers, promoting their professional development.Collaborate with cross-functional teams, including product managers and business stakeholders, to align AI initiatives with company objectives.
sia is hiring an Engineering Manager – AI Platforms to lead a team of engineers in Mumbai. This role centers on overseeing the design, development, and rollout of AI platforms that drive the company’s business objectives. Role overview The Engineering Manager will guide a team dedicated to building and refining AI solutions. The position involves hands-on leadership throughout project planning, technical design, and deployment phases. Setting the technical direction and defining strategic priorities for the team are key responsibilities. What you will do Lead and support a team focused on AI solution development and improvement Direct project planning, design, and deployment for AI platforms Establish technical direction and shape team strategy Mentor engineers and foster professional growth Collaborate with other departments to align projects with business needs Requirements Experience managing engineering teams in AI or related technology areas Strong knowledge of AI platforms and their practical uses Proven ability to guide, motivate, and develop technical staff Excellent communication and collaboration skills This position is located in Mumbai.
Nium is revolutionizing the global payments landscape by providing cutting-edge infrastructure for real-time cross-border transactions. Founded to create the payment solutions of the future, we are developing a programmable, borderless, and compliant money movement platform that facilitates transactions between individuals, businesses, and smart systems. Our solutions empower banks, fintech companies, payroll providers, travel platforms, marketplaces, and other global enterprises to execute instant money transfers worldwide.With dual headquarters in San Francisco and Singapore, our presence spans 14 markets, with a diverse team of professionals across more than 20 countries. Our culture is rooted in the principles of simplicity, continuous improvement, and teamwork. Having achieved record revenue and transaction volumes in 2025, we are poised to enter an exciting new phase of growth. We believe that the best collaborations occur face-to-face, which is why we adopt a hybrid working model with three in-office days each week to foster innovation and alignment.We facilitate over $50 billion in transactions annually, operating a network that covers over 190 countries, supports 100 currencies, and maintains 100 real-time payment corridors. Our services include swift payouts to accounts, wallets, and cards, local collections in 35 markets, and card issuance in 34 countries, all supported by licenses in over 40 markets.Having raised over $300 million to date, Nium offers passionate builders a unique opportunity to influence the future of global money movement at scale.The RoleAs a pivotal member of our India-based Data Engineering team, you will play a key role in transforming our data platform while migrating from on-premises systems to the AWS cloud. This position goes beyond technical responsibilities; you will collaborate with product, engineering, analytics, and business teams to design and implement high-quality, scalable data solutions that enable real-time payments and data-driven decision-making. You will work with modern tools such as Airflow, Redshift, dbt, and Kafka, contributing to impactful projects and tackling complex technical challenges that support millions of users globally. If you are eager to learn, collaborate, and build robust data platforms at scale, this role presents a significant opportunity for professional growth.
Join Brainwonders as an AI Engineer Intern, where you will engage with cutting-edge technologies including Large Language Models (LLMs) and AI Agents. This internship offers a fantastic opportunity to work with AWS cloud services while collaborating on innovative projects that could lead to a full-time position.🧠 Focus Areas:Explore and develop applications…
Key ResponsibilitiesSeeking candidates with 7-10 years of experience specializing in DevOps and AWS.Architect, develop, and sustain cloud-native applications utilizing AWS serverless services such as Lambda, API Gateway, DynamoDB, SQS, Cognito, and CloudWatch.Oversee and manage the AI/ML Platform on AWS.Create infrastructure as code leveraging AWS CDK or equivalent technologies like Terraform or CloudFormation.Ability to construct both front-end and back-end solutions.Experience with financial services is required.Contribute to the development of event-driven and microservices architectures.Engage with cross-functional teams, enhance DevOps practices (CI/CD pipelines, configuration management), and resolve issues across the technology stack.
Mactores stands at the forefront of delivering innovative data platform solutions to businesses. Since 2008, we have empowered organizations to enhance their operational efficiency through cutting-edge automation, providing comprehensive, agile, and secure data solutions. Our collaborative approach ensures that clients receive tailored strategies for navigating their digital transformation journeys, whether through assessments, migrations, or modernization efforts.We are on the lookout for a highly skilled Senior DevOps Engineer to spearhead complex cloud modernization projects, particularly large-scale migrations from VMware to AWS. In this role, you will be responsible for architecting secure, scalable, and production-ready AWS environments. You will design Landing Zones, build and optimize EKS-based container platforms, implement Infrastructure as Code using Terraform and CloudFormation, and enhance automation across provisioning, deployment, monitoring, and operational processes. Your hands-on experience with CI/CD pipelines, configuration management, cloud-native architectures, and enterprise-level security, high availability, and disaster recovery strategies will be instrumental. This role calls for strong technical leadership, collaboration with cross-functional teams, and mentorship of junior engineers while shaping long-term infrastructure strategies. If you thrive in dynamic environments and are passionate about tackling complex cloud challenges with a dedicated team committed to excellence and innovation, then Mactores is the perfect fit for you.
Role OverviewJoin our dynamic team as an AWS Data Engineer! We are looking for a talented individual with 4–7 years of experience in data engineering to architect and develop cloud-native data pipelines. Your innovative contributions will play a vital role in enhancing our data engineering practices, fostering collaboration across teams, and delivering secure, scalable, and high-quality data solutions. This position is essential for generating real-time insights and advancing our mission of optimizing enterprise operations.Key ResponsibilitiesDesign, test, deploy, orchestrate, monitor, and troubleshoot cloud-based data pipelines and automation workflows, adhering to best practices and security standards.Collaborate with data scientists, architects, ETL developers, and business stakeholders to capture, format, and integrate data from internal systems, external sources, and data warehouses.Investigate and assess batch and streaming data technologies to gauge their business impact and relevance to current use cases.Contribute to defining and continuously enhancing data engineering processes and methodologies.Ensure data integrity, accuracy, and security across all corporate data assets.Uphold high data quality standards for Data Services, Analytics, and Master Data Management.Create automated, scalable, and test-driven data pipelines.Utilize software development practices, including Git-based version control, CI/CD, and release management, to enhance AWS CI/CD pipelines.Partner with DevOps engineers and architects to refine DataOps tools and frameworks.
Join Brainwonders as an AI Research Engineer Intern and immerse yourself in cutting-edge research! In this role, you will:Develop and implement advanced machine learning algorithms to analyze brain data and predict cognitive functions.Collaborate with a dynamic research team to design experiments and gather data for comprehensive analysis.Create innovative data visualization tools to effectively communicate complex findings.Contribute to the development of AI models aimed at personalized learning and educational assessment.Conduct thorough literature reviews and remain informed about the latest advancements in AI and neuroscience.Present research findings to the team and play a key role in contributing to scientific publications.Engage in brainstorming sessions, bringing forth innovative ideas to propel the company’s research initiatives.If you are fervent about utilizing AI to unveil the mysteries of the brain and enhance educational outcomes, this internship presents an incredible opportunity. Apply today to be a part of our mission to transform how we understand and nurture human potential!
Mactores is a reputable leader in providing cutting-edge data platform solutions to businesses. Since its inception in 2008, Mactores has been dedicated to empowering organizations to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are efficient, secure, and agile. Our team collaborates closely with clients to strategize, navigate, and fast-track their digital transformation journeys through detailed assessments, migrations, and modernization efforts.As a member of our DevOps engineering team, you will oversee substantial customer deployments encompassing both Linux and Windows Administration, along with managing Large Enterprise Applications and Big Data Workloads. You will possess a deep understanding of both business and technology, supported by professional services experience and client-facing skills. Your enthusiasm for cloud deployment best practices will be crucial in meeting and exceeding customer expectations. Together, we will construct scalable and efficient cloud infrastructure.Your responsibilities will include implementing monitoring solutions for automated system health checks, building our Continuous Integration (CI) pipeline, and mentoring the team in DevOps methodologies. If you thrive on solving challenges with your skills, we invite you to join Team Mactores. Our office culture is casual and enjoyable, steering clear of rigid corporate norms, focusing on productivity and creativity while allowing you to be your authentic self.
Join Mactores, a pioneering leader in modern data platform solutions. Since 2008, we have empowered enterprises to enhance their value through robust automation, delivering comprehensive End-to-End Data Solutions that are agile, secure, and automated. Our collaborative approach helps clients strategize and navigate their digital transformation journeys through assessments, migration, and modernization initiatives.As an AWS DevOps Engineer, you will be a key member of our DevOps team, responsible for managing extensive customer deployments by applying DevOps principles such as Infrastructure as Code, Continuous Integration/Continuous Deployment (CI/CD), and Automated Monitoring for large enterprise applications and Big Data workloads. Your hands-on technical expertise combined with client-facing skills will be crucial as you implement best practices in cloud deployment, ensuring that customer expectations are not only set but met with precision.You will also be tasked with implementing monitoring solutions for automated system health checks, building our Continuous Integration pipeline, and mentoring the team on DevOps best practices. If you are excited about solving complex problems with your skills, we invite you to join Team Mactores. We offer a casual and fun office environment that fosters creativity and productivity while allowing you to be your authentic self.
Mactores is a leading provider of modern data platform solutions, dedicated to empowering businesses since 2008. Our mission is to help organizations unlock their potential through innovative automation and comprehensive End-to-End Data Solutions that are agile, secure, and tailored to meet their unique needs. We partner with clients to develop strategies that drive successful digital transformations, whether through assessments, migrations, or modernization efforts.We are currently seeking a Senior AWS DevOps Engineer who possesses a robust expertise in Infrastructure as Code (IaC), configuration management, continuous integration (CI), continuous deployment (CD), and automated monitoring of big data workloads, enterprise applications, and databases. In this role, you will bring hands-on technical proficiency and a strong background in professional services, along with exceptional client-facing skills.If you are driven by a passion for cloud deployment best practices and committed to exceeding customer expectations, we invite you to join Team Mactores. Enjoy a relaxed and vibrant office environment that fosters creativity and productivity while allowing you to be your authentic self as part of a world-class team.
Mactores stands as a prominent figure in delivering cutting-edge data platform solutions tailored for businesses. Since its inception in 2008, Mactores has empowered organizations to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are automated, agile, and secure. We partner with our clients to strategize, navigate, and accelerate their digital transformation journey through assessments, migrations, and modernization initiatives.Mactores is on the lookout for a talented Senior AWS Data Engineer to join our dynamic team. The successful candidate will possess substantial expertise in PySpark and SQL, with a proven track record in building data pipelines utilizing Amazon EMR or Amazon Glue. Additionally, experience in data modeling and end-user querying is essential, having worked with platforms such as Amazon Redshift or Snowflake, Amazon Athena, and Presto. Proficiency in orchestration tools like Airflow is also required.
Mactores is a pioneering leader in delivering state-of-the-art data platform solutions. Since its inception in 2008, Mactores has empowered businesses to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are automated, agile, and secure. We partner with clients to strategize, navigate, and expedite their digital transformation journey through assessments, migrations, and modernization efforts.We are in search of a skilled Senior AWS Data Engineer to join our dynamic team. The ideal candidate will possess significant expertise in PySpark and SQL, with hands-on experience in building data pipelines utilizing Amazon EMR or Amazon Glue. A strong background in data modeling and user querying with Amazon Redshift or Snowflake, Amazon Athena, and Presto is essential. Additionally, candidates should be proficient in orchestration using Airflow.
Role Overview Version 1 is hiring an AWS DevOps Engineer for its Mumbai office. This role centers on building and maintaining cloud infrastructure with AWS tools and services. The position plays a key part in automating workflows, improving operational processes, and supporting digital solutions across the business. What You Will Do Implement and manage AWS-based cloud infrastructure Drive automation to streamline deployment and operations Work with cross-functional teams to deliver scalable, reliable applications Support the Digital, Data, and Cloud team in enhancing system performance Collaboration This position works closely with colleagues across technical and business teams to ensure cloud environments remain stable, secure, and efficient.
Role: AI Prompt EngineerExperience Required: 5-9 yearsLocation: Mumbai (Worli)Job Overview:As an AI Prompt Engineer, you will be pivotal in designing, developing, and optimizing prompts for AI and LLM applications to guarantee high-quality and contextually relevant outputs. You will work closely with cross-functional teams, including product, engineering, and data analytics, to seamlessly integrate prompt strategies into our applications and workflows.Key Responsibilities:Develop and enhance prompts for various AI applications to improve output quality.Collaborate with teams to implement effective prompt strategies.Perform A/B testing to assess prompt performance across diverse scenarios.Maintain a comprehensive repository of reusable prompt templates and frameworks.Stay abreast of the latest advancements in generative AI and prompt engineering techniques.Analyze generated outputs, troubleshoot issues, and recommend prompt modifications for ongoing improvements.
Join our dynamic team at Sia Partners as a Staff Generative AI Engineer, where you will play a pivotal role in leading the design, development, and deployment of cutting-edge AI-driven platforms and products. This position combines hands-on technical expertise with architectural leadership and client-facing consulting responsibilities.Key ResponsibilitiesArchitect, design, and develop scalable backend systems that integrate machine learning and Generative AI models into high-performance applications.Oversee the complete delivery of Generative AI solutions, including LLM-based systems, RAG architectures, and agentic workflows, from initial experimentation to final production.Design and implement advanced agentic AI systems that facilitate multi-step reasoning, tool invocation, memory management, and orchestration.Utilize a robust understanding of machine learning techniques such as regression, classification, clustering, decision trees, neural networks, and probabilistic models in your solution design and implementation.Collaborate closely with data scientists to train, fine-tune, evaluate, and deploy ML/AI models, ensuring their reliability and performance at scale.Manage structured and unstructured data sources, creating efficient data pipelines and storage strategies.Lead the development of backend microservices and APIs that support AI-driven applications.Guarantee the production readiness of AI systems, focusing on performance optimization, monitoring, cost management, and security.Define cloud-native deployment strategies for AI solutions on major platforms such as AWS, Azure, and GCP.Establish deployment standards utilizing containerization technologies such as Docker and Kubernetes in both development and production environments.Oversee data architecture, performance, and integrity across SQL and NoSQL databases, including PostgreSQL and MongoDB.Implement monitoring and logging frameworks to ensure the reliability, observability, and operational excellence of AI systems.Lead the development of AI-powered SaaS products within the Heka.ai platforms.Tactical & Cross-Team LeadershipFunction as the Directly Responsible Individual (DRI) for major architectural initiatives and blueprints, owning design documentation and migration plans.Maintain responsibility for triage and incident prioritization, advocating for severity and priority to stakeholders.Serve as the maintainer/owner for multiple critical repositories, tech stacks, or services.Mentor engineers formally through code reviews, pairing, and career coaching.Break down large projects into manageable epics and tasks for efficient execution.
sia is looking for a Generative AI Engineer to join the team in Mumbai. The work centers on building and refining generative models, applying the latest artificial intelligence methods to solve complex problems and create new solutions. Key responsibilities Develop and enhance generative AI models for various projects Use advanced machine learning techniques in practical, real-world scenarios Work closely with colleagues to deliver creative technical solutions Location This role is based in Mumbai.
Join Capco as a Generative AI - Prompt Engineer and contribute to the development of cutting-edge AI solutions. In this role, you'll collaborate with a dynamic team to create and optimize prompts that drive innovative AI outputs.
Join Quantanite as a Senior AI Engineer and be at the forefront of technological innovation. In this role, you will leverage your expertise in artificial intelligence to develop advanced solutions that drive efficiency and enhance decision-making processes. You will collaborate with a talented team of engineers and data scientists to create cutting-edge applications that meet the needs of our clients.
Full-time|Remote|Remote — Mumbai, Maharashtra, India
About the RoleJoin our dynamic team at zoneit as an AI Engineer specializing in voice technologies. In this role, you will leverage your expertise to design, develop, and implement cutting-edge voice-driven applications. Your responsibilities will include working on speech recognition, voice synthesis, and advanced conversational AI systems, integrating them seamlessly into enterprise applications, and enriching user interactions with natural, human-like communication.Key Responsibilities Develop and enhance automatic speech recognition (ASR) and text-to-speech (TTS) systems to improve efficiency and accuracy. Design and implement voice-enabled applications, chatbots, and virtual assistants that provide exceptional user experiences. Apply NLP/NLU models to accurately understand intent and context within conversations. Integrate voice technologies with various enterprise platforms, including ERP, CRM, contact centers, and mobile applications. Utilize APIs from platforms like Google Speech, AWS Lex/Polly, and Azure Cognitive Services, as well as open-source voice frameworks. Collaborate with cross-functional teams, including AI, product management, engineering, and UX, to deliver scalable and innovative solutions. Focus on optimizing accuracy, minimizing latency, and ensuring multilingual capabilities for voice applications. Stay informed on the latest advancements in Generative AI for voice, including voice cloning, emotion modeling, and real-time synthesis. Skills & Experience Required Demonstrable experience as an AI/ML Engineer with a strong focus on voice technologies. In-depth knowledge of speech-to-text (STT), text-to-speech (TTS), NLP, and NLU methodologies. Practical experience with frameworks like DeepSpeech, Kaldi, Whisper, Rasa, or Dialogflow. Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow and PyTorch. Experience working with cloud-based AI services (AWS, GCP, Azure) for effective voice integration. Strong understanding of audio signal processing and real-time optimization techniques. Ability to architect scalable solutions for voice-enabled enterprise applications. Preferred Qualifications Experience in developing multilingual voice AI systems. Knowledge of emotion detection, sentiment analysis, and personalization techniques in voice AI. Familiarity with contact center AI solutions such as Genesys, Five9, or Twilio Flex. A background in linguistics, HCI, or cognitive science is a plus. A Bachelor's or Master's degree in Computer Science, AI, or a related field is preferred. Why Join Us? Be part of innovative projects that are redefining enterprise interactions through advanced voice AI technologies. ...
Exciting Opportunity:TSS Consultancy Pvt Ltd is on the lookout for a talented and experienced Lead Software Engineer specializing in AI to lead our innovative AI engineering team. This crucial role involves overseeing the design, development, and implementation of advanced AI solutions across a variety of sectors, including computer vision, natural language processing (NLP), and predictive analytics. You will be responsible for architecting scalable AI systems, advocating for MLOps best practices, and mentoring a skilled team of engineers. This is a full-time position based in one of our key technology hubs: Mumbai, Rajkot, or Ahmedabad, reporting directly to the Head of Engineering / CTO.Key Responsibilities:AI Solution Development: Direct the entire lifecycle of AI solutions, from conception to deployment, focusing on computer vision, NLP, and predictive analytics.Innovate in use cases like image enhancement, document intelligence, entity extraction, and automated data validation.Utilize advanced deep learning techniques, transformer architectures, and foundation model fine-tuning for scalable real-world applications.Architect robust AI services, integrating them seamlessly via REST APIs and microservices.Investigate and assess emerging technologies in AI, including generative AI, multilingual AI, and biometric verification for potential applications.MLOps and AI Engineering:Develop and manage comprehensive CI/CD pipelines tailored for model training, deployment, and testing.Automate model monitoring, retraining workflows, and ensure traceability for models and datasets.Utilize MLOps tools such as MLflow, Kubeflow, Airflow, Docker, and Kubernetes for effective production deployment and management of AI systems.NLP and Language Model Applications:Oversee the research, development, and proof-of-concept (PoC) projects for domain-specific language models.Implement cutting-edge transformer architectures for complex NLP tasks, including text summarization, semantic search, and question-answering (QA).Fine-tune large language models (LLMs) to derive insights from unstructured data sources.Strategically incorporate NLP modules into core business processes and real-time operational systems.Leadership in Engineering:Mentor and guide a team of proficient machine learning engineers and software developers, promoting their professional development.Collaborate with cross-functional teams, including product managers and business stakeholders, to align AI initiatives with company objectives.
sia is hiring an Engineering Manager – AI Platforms to lead a team of engineers in Mumbai. This role centers on overseeing the design, development, and rollout of AI platforms that drive the company’s business objectives. Role overview The Engineering Manager will guide a team dedicated to building and refining AI solutions. The position involves hands-on leadership throughout project planning, technical design, and deployment phases. Setting the technical direction and defining strategic priorities for the team are key responsibilities. What you will do Lead and support a team focused on AI solution development and improvement Direct project planning, design, and deployment for AI platforms Establish technical direction and shape team strategy Mentor engineers and foster professional growth Collaborate with other departments to align projects with business needs Requirements Experience managing engineering teams in AI or related technology areas Strong knowledge of AI platforms and their practical uses Proven ability to guide, motivate, and develop technical staff Excellent communication and collaboration skills This position is located in Mumbai.
Nium is revolutionizing the global payments landscape by providing cutting-edge infrastructure for real-time cross-border transactions. Founded to create the payment solutions of the future, we are developing a programmable, borderless, and compliant money movement platform that facilitates transactions between individuals, businesses, and smart systems. Our solutions empower banks, fintech companies, payroll providers, travel platforms, marketplaces, and other global enterprises to execute instant money transfers worldwide.With dual headquarters in San Francisco and Singapore, our presence spans 14 markets, with a diverse team of professionals across more than 20 countries. Our culture is rooted in the principles of simplicity, continuous improvement, and teamwork. Having achieved record revenue and transaction volumes in 2025, we are poised to enter an exciting new phase of growth. We believe that the best collaborations occur face-to-face, which is why we adopt a hybrid working model with three in-office days each week to foster innovation and alignment.We facilitate over $50 billion in transactions annually, operating a network that covers over 190 countries, supports 100 currencies, and maintains 100 real-time payment corridors. Our services include swift payouts to accounts, wallets, and cards, local collections in 35 markets, and card issuance in 34 countries, all supported by licenses in over 40 markets.Having raised over $300 million to date, Nium offers passionate builders a unique opportunity to influence the future of global money movement at scale.The RoleAs a pivotal member of our India-based Data Engineering team, you will play a key role in transforming our data platform while migrating from on-premises systems to the AWS cloud. This position goes beyond technical responsibilities; you will collaborate with product, engineering, analytics, and business teams to design and implement high-quality, scalable data solutions that enable real-time payments and data-driven decision-making. You will work with modern tools such as Airflow, Redshift, dbt, and Kafka, contributing to impactful projects and tackling complex technical challenges that support millions of users globally. If you are eager to learn, collaborate, and build robust data platforms at scale, this role presents a significant opportunity for professional growth.
