Machine Learning Engineer at Prefr | Hyderabad

Join Lookout, Inc., a globally acclaimed leader in cybersecurity, dedicated to safeguarding the most vulnerable aspect of any enterprise security strategy: human error and manipulation. Our cloud-native platform facilitates rapid, scalable deployment and streamlines security operations, defending against the increasing threat of human-centric attacks on mobile devices. With attackers targeting human instincts like trust and urgency, we empower users by preventing the disclosure of sensitive credentials through advanced security measures. Our Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, traditional malware, software vulnerabilities, and other anomalous activities. By leveraging innovative threat detection techniques, including machine learning and behavioral analysis, we identify threats proactively, minimizing risk across the enterprise. Explore more at www.lookout.com and connect with us on the Lookout Blog, LinkedIn, and X. Our backend system is engineered to support a vast volume of data and an escalating demand from data ingestion to dynamic analysis. We seek proficient and passionate engineers to develop core components and services and contribute to the evolution of our architecture. As part of a compact yet impactful team, you will work on a state-of-the-art product serving millions of users, playing a crucial role in building and maintaining the various services that power Lookout applications.

About Demandbase:Demandbase stands as the sole pipeline AI platform tailored for GTM teams seeking to automate expansive growth. By offering a consolidated perspective of data, insights, actions, and outcomes, B2B enterprises can confidently synchronize and execute their account-based GTM strategies. Our platform is trusted by thousands of businesses aiming to enhance revenue, reduce waste, and streamline their data and technology stacks.We are deeply committed to nurturing careers while also developing cutting-edge technology. Our investment in our people, culture, and community is paramount. Demandbase has consistently been acknowledged as one of the Best Places to Work in the San Francisco Bay Area by Fortune, and one of the 60 Best Companies to Sell For by Selling Power. We have offices in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.Role OverviewWe are in search of a Senior Staff Machine Learning Engineer to elevate the standards of AI system design and ML engineering within our B2B SaaS platform. This senior individual contributor role is centered on developing production-grade AI systems where factors like ambiguity, contextual constraints, scalability, and operational correctness are paramount. You will spearhead intricate, cross-team initiatives while remaining actively involved in the design, construction, and operation of AI/ML systems.Main ResponsibilitiesDirect the design and development of AI/ML systems from problem framing to operational constraints.Steer system and architecture decisions for AI and ML platforms, ensuring scalability, performance, and operational excellence, along with evolving context engineering strategies for LLM-based systems under strict constraints.Design agent-based systems, including roles, interaction models, coordination strategies, and failure handling.Construct and maintain production AI systems, taking ownership of reliability, latency, cost, and correctness.Establish evaluation frameworks for AI and agent behaviors beyond offline metrics.Enhance AI-assisted development and reusable workflows to boost engineering velocity and system quality.Review and endorse ML designs, guiding trade-offs related to model quality, system complexity, and business impact while mentoring senior engineers and data scientists to elevate standards in AI system design and ML engineering.

Join Our Team as a Machine Learning Engineer: Are you passionate about harnessing the power of artificial intelligence to solve real-world problems? At egen, we are seeking a talented Machine Learning Engineer to design and implement cutting-edge AI applications. Bring your expertise in software engineering and machine learning to create scalable solutions that deliver value to our clients. Key Responsibilities:Leverage a minimum of 5 years of experience to architect and deploy AI solutions that are secure, scalable, and high-performing.Utilize your knowledge of Document Extraction, Conversational AI, Vision AI, NLP, or Generative AI in your projects.Enhance and operationalize existing ML models through fine-tuning and personalization.Evaluate and optimize machine learning models to ensure peak performance.Craft effective prompts for Large Language Models (LLMs) to elicit relevant and accurate outputs.Collaborate with data scientists and engineers to preprocess datasets, including tasks such as data cleaning, transformation, and augmentation.Conduct comprehensive analyses to assess LLM responses and iteratively refine prompts for improved outcomes.Engage in hands-on customer interactions with Retrieval-Augmented Generation (RAG) solutions and LLM model fine-tuning.Build and deploy robust machine learning pipelines on Google Cloud Platform (GCP) or equivalent cloud services, integrating data warehouses, ML platforms, dashboards, and CRM tools.Manage all phases of machine learning projects including data cleaning, exploratory data analysis, outlier management, and data distribution analysis.

About Us:At Xenon7, we bridge the gap between elite tech talent and world-class opportunities. Our collaborations with leading enterprises and innovative startups enable us to work on groundbreaking projects that utilize the latest technologies across diverse IT domains, including Data, Web, Infrastructure, AI, and much more. Our commitment to providing advanced IT solutions and on-demand resources empowers our clients to undertake transformative initiatives, fostering innovation and business growth. We are dedicated to delivering impactful solutions that address the most complex challenges of today.Join us in building a community of top-tier experts as we welcome exceptional AI & ML Professionals who are ready to tackle real-world problems and shape the future of intelligent systems.

About AizenAt Aizen, our mission is to simplify AI and amplify its capabilities. We offer a comprehensive platform that optimizes the entire AI workflow—from data ingestion and orchestration to model training, deployment, and monitoring—empowering businesses to focus on what truly matters: innovating and scaling exceptional AI solutions without the complexities.Frustrated by cumbersome AI processes and fragmented solutions, we founded Aizen to revolutionize AI adoption. Today, businesses of all sizes—from budding startups to Fortune 500 giants—rely on us to seamlessly manage their AI pipelines and scale with ease. By redefining the development, deployment, and management of AI, we're making it more accessible and impactful than ever. If you have a passion for technology, enjoy solving real-world challenges, and want to collaborate with a top-notch engineering team, we would be thrilled to connect with you.About the TeamFounded by a group of visionary entrepreneurs with extensive backgrounds in data storage, distributed systems, and real-time AI architecture, Aizen's team has a proven track record in building and scaling successful tech companies, with some achieving $1B+ exits. Our collective expertise has shaped Aizen into a platform designed to simplify the AI pipeline, enhance performance, and make AI truly accessible for enterprises of all sizes.About the RoleAs a Machine Learning Engineer at Aizen, you will play a crucial role in building and refining the AI pipelines that power our end-to-end platform. You will engage with the complete stack—from data ingestion and model training to real-time inference and monitoring—ensuring efficient AI deployment at scale. Whether you are an entry-level engineer eager to learn or a seasoned professional ready to spearhead impactful projects, this position presents an exciting opportunity to tackle complex ML challenges, enhance automation, and influence the future of AI infrastructure.Core ResponsibilitiesAI Pipeline Development – Design, implement, and optimize comprehensive AI pipelines for data ingestion, training, deployment, and real-time inference, ensuring smooth integration with MLOps and infrastructure systems.Model Training & Deployment – Execute training and fine-tuning workflows for ML models, maximizing efficiency, scalability, and reproducibility across cloud, on-premises, and edge environments.Backend & API Development – Create and integrate scalable backend services and APIs for model inference...

Join Demandbase as a Senior Machine Learning Engineer:At Demandbase, we are revolutionizing how B2B enterprises approach growth through our unique pipeline AI platform. Our solution empowers go-to-market teams to automate and optimize their strategies seamlessly, providing a unified view of data, insights, and actions.We are not just about technology; we are about building careers, fostering a vibrant culture, and contributing to our community. Recognized as one of the Best Places to Work in the San Francisco Bay Area and one of the 60 Best Companies to Sell For, we pride ourselves on our commitment to excellence.Your RoleAs a Senior Machine Learning Engineer, you will play a crucial role in designing and developing next-generation Agentic AI systems at Demandbase. This position emphasizes multi-agent orchestration, LLM-powered reasoning systems, evaluation frameworks, and scalable generative AI architectures.You will work at the nexus of advanced data science, generative AI research, and production-level machine learning systems, ensuring that intelligent agents operate reliably and safely in enterprise settings. This is a deep AI systems engineering role focused on agent architecture, model evaluation, and innovative machine learning applications.

About CrunchyrollFounded by passionate fans, Crunchyroll is dedicated to delivering the vibrant art and culture of anime to an enthusiastic community. Serving over 100 million anime and manga fans across more than 200 countries and territories, we connect them with the stories and characters they cherish. Our offerings include streaming services, theatrical experiences, games, merchandise, events, and more, all fueled by the anime content that we all adore.Join us in shaping the future of anime!About the RoleAs Crunchyroll continues to expand and evolve, we face unique challenges and opportunities to support millions of anime fans globally. Our AI/ML team plays a crucial role in providing seamless assistance to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll enthusiasts.Design and implement comprehensive LLM-based applications such as chatbots, virtual assistants, search agents, and knowledge discovery tools.Create and deploy scalable RAG and GraphRAG pipelines utilizing vector databases (e.g., Opensearch, Pinecone, Mongo) along with document chunking strategies.Optimize and fine-tune foundation models (e.g., Bedrock, Claude, Nova) for specialized domain applications.Manage prompt design and evaluation, developing prompt libraries and frameworks to facilitate rapid experimentation and reuse.Develop APIs and microservices to support LLM-based applications with real-time performance and uptime assurances.Collaborate closely with data, platform, and backend teams to integrate LLM functionalities into broader Crunchyroll product experiences.Continuously monitor and assess LLM systems in production for issues related to hallucination, latency, cost, and feedback loops.Stay abreast of the latest advancements in LLM research, tooling (LangChain, LlamaIndex), and ecosystem developments.

Role Overview Experian is seeking a Senior Staff Software Engineer focused on Artificial Intelligence and Machine Learning for its Hyderabad location. This position centers on building advanced solutions that strengthen data-driven products and services. What You Will Do Work closely with teams across disciplines to design, build, test, and deploy software using AI and ML techniques. Create and refine tools that support client needs and improve product capabilities.

About CrunchyrollFounded by passionate fans, Crunchyroll is dedicated to delivering the rich art and culture of anime to a vibrant community. We proudly serve over 100 million anime and manga enthusiasts across more than 200 countries and territories, enabling them to connect deeply with the stories and characters they love. Our offerings span online streaming, theatrical releases, gaming, merchandise, events, and more, all fueled by the captivating anime content that unites us.Join our innovative team and be part of shaping the future of anime!About the RoleWe are on the lookout for an experienced Senior Machine Learning Engineer based in Hyderabad to architect, develop, and scale advanced machine learning systems that drive personalized and data-rich experiences throughout our digital entertainment ecosystem — encompassing paid video-on-demand streaming, Manga reading, merchandising, mobile gaming, and music video platforms. You will report directly to the Manager of Machine Learning.Your work will bridge user behavior insights, content intelligence, and product engagement, creating models and systems that elevate user experiences (such as personalization, discovery, and lifecycle optimization) while generating valuable business insights for our internal stakeholders. As a senior individual contributor, you will spearhead high-impact initiatives from start to finish and significantly influence the technical direction of our ML systems across various products.Core ResponsibilitiesDesign and implement scalable machine learning models that enhance personalization, discovery, engagement, and monetization across diverse product lines.Lead comprehensive ML projects from initial problem definition and data analysis to production deployment and monitoring.Build and refine robust data pipelines and feature engineering workflows for extensive behavioral and content datasets.Establish and execute rigorous experimentation frameworks (e.g., A/B testing, offline evaluations) to assess model performance and impact.Collaborate closely with Product, Engineering, Analytics, and business teams to translate product objectives into effective ML solutions.Enhance the reliability, scalability, and performance of production ML services.Mentor junior engineers and contribute to elevating the team's technical standards and practices.Participate in the evolution of ML architecture, tools, and MLOps practices throughout the organization.About YouRequired Qualifications8+ years of experience in machine learning, data analysis, or a related field.

twocircles is seeking a Lead Software Engineer focused on Audience Intelligence for its Hyderabad office. This position centers on building and improving software that advances how audience insights and analytics are delivered. Role overview This role leads the design and development of software solutions that support audience intelligence. Collaboration with teams across disciplines is a key part of the job, ensuring that applications meet high standards and align with broader technology goals. What you will do Guide the development of software products that strengthen audience analytics. Work closely with cross-functional groups to deliver reliable, effective applications. Play a part in shaping technology strategies within the organization. Location This position is based in Hyderabad, Telangana, India.

Founded in 1998, Inovalon stands at the forefront of transforming the healthcare landscape through innovative technology and data solutions aimed at enhancing both outcomes and economic viability. We are committed to empowering our clients with data-driven insights that lead to successful healthcare solutions. Our momentum reflects the collective strength of our united team, which operates under a mission-driven culture that prioritizes inclusivity and innovation, ultimately benefiting millions of patients and members served by our customers.Overview: The Staff Software Engineer - Reporting is an advanced role that demands the ability to independently tackle complex tasks. This position requires a comprehensive understanding of the software development lifecycle and a steadfast commitment to core software engineering principles. A deep knowledge of computer architecture, software scalability, and testing methodologies is essential.

Join Zscaler as a Staff Software Development Engineer, where you will be pivotal in developing innovative solutions that enhance our cloud security platform. You will collaborate with cross-functional teams to design, implement, and maintain high-quality software components, ensuring the scalability and performance of our systems.

Key ResponsibilitiesWe are seeking a dynamic and passionate Software Research Engineer with expertise in Computer Science, Artificial Intelligence, or Applied Mathematics to contribute to an innovative project. The ideal candidate will be eager to learn and adept at working with cutting-edge technologies, including blockchain, to create comprehensive end-to-end solutions.QualificationsBachelor's or Master's degree in Computer Science, Engineering, or Mathematics.Proficient understanding of blockchain technology.Experience in Machine Learning, Natural Language Processing, or Cryptography is advantageous.Strong programming skills in multiple languages such as Java, Python, and C++.Passion for research and enthusiasm for exploring emerging technologies.Ability to quickly develop prototypes and iterate based on feedback.

Role overview ServiceNow seeks a Staff Software Engineer specializing in microservices for its Hyderabad office. The position focuses on designing, building, and maintaining scalable microservices that form the backbone of the ServiceNow platform. What you will do Develop and maintain microservices to support ongoing platform growth Collaborate with engineering, product, and operations teams to align on technical solutions Enhance infrastructure to boost reliability and performance Collaboration and impact This role involves frequent work with cross-functional groups. The goal is to strengthen the platform’s architecture and deliver dependable performance as ServiceNow continues to scale.

Position: Senior Software Engineer - Intelligent Process Automation Join Global Healthcare Exchange Inc. (GHX) as we revolutionize the healthcare landscape through our Intelligent Process Automation (IPA) platform. This pivotal role centers around creating dynamic automation solutions that reshape and digitize business documentation workflows typically received via fax or PDF. Your expertise with UiPath’s intelligent document understanding will be crucial, as you ensure our designs remain flexible and scalable for future automation advancements. With automation solutions deployed in the AWS Cloud, a robust understanding of cloud technologies is essential. You will work in close collaboration with a talented team of senior engineers, business analysts, and product managers to engineer automation that enhances accuracy, minimizes errors, and elevates productivity across our operations. Key Responsibilities: Automation Development: Analyze business processes for improvement opportunities and propose IPA solutions. Develop new automated workflows or enhance existing RPA/IPA workflows. Implement document processing pipelines leveraging OCR, classification, and data extraction techniques. Design platform-agnostic solutions capable of migration to new tools as required. Integrate bots with enterprise systems through APIs or other interfaces. Maintain adherence to established coding standards, testing protocols, and deployment guidelines. Cloud & Infrastructure: Deploy and maintain automation solutions within AWS environments. Utilize AWS services such as EC2, S3, Lambda, DynamoDB, and SQS/SNS for your automation workflows. Monitor bot executions, troubleshoot issues, and optimize performance. Collaboration: Collaborate with business analysts, solution architects, and support engineers to translate requirements and automation failures into effective designs. Work alongside QA teams to validate workflows prior to deployment. Participate actively in Agile ceremonies, contributing to estimation and planning discussions. Continuous Improvement: Engage in ongoing evaluation of automation processes and suggest enhancements to ensure continuous operational improvement.

About ValGenesis ValGenesis is a premier digital validation platform that empowers life sciences organizations. Our innovative suite of products is utilized by 30 of the top 50 global pharmaceutical and biotech firms to drive digital transformation, ensuring total compliance and manufacturing excellence throughout their product lifecycle.Discover more about working at ValGenesis, the industry standard for paperless validation in Life Sciences: valgenesis.com/aboutAbout the Role:We are on the lookout for a talented Senior AI/ML Engineer to join our innovative team. You will play a pivotal role in developing next-generation applications for our global clientele. If you are passionate about technology and eager to make a difference, we would love to discuss this exciting opportunity with you.

Opportunity Overview As the Manager of Machine Learning & Data Science at Cohere Health, you will be pivotal in enhancing and expanding our AI capabilities in India. You will lead a dynamic team of machine learning engineers and data scientists dedicated to the development and implementation of models that streamline and enhance complex clinical and administrative workflows. This team oversees the entire lifecycle of applied machine learning and data science—from identifying problems and conducting experiments to deploying models in production and optimizing performance. You will work with both structured and unstructured healthcare data to extract insights and fuel intelligent systems that enhance prior authorization processes and broader clinical decision-making. As a player-coach, you will blend hands-on technical contributions with leadership, establishing best practices, mentoring team members, and driving impactful solutions in collaboration with Product, Engineering, Clinical, and Analytics stakeholders. This role offers a unique opportunity to influence both the technical trajectory and team culture within a rapidly growing global organization. Key Responsibilities: Lead, mentor, and cultivate a high-performance team of machine learning engineers and data scientists, fostering a collaborative environment. Actively contribute across the machine learning and data science lifecycle, including data exploration, feature engineering, model development, evaluation, and deployment. Design, develop, and implement machine learning models for retrieval, classification, and generative tasks across both structured and unstructured data. Convert complex business and clinical challenges into scalable machine learning and data science solutions. Establish and maintain best practices for experimentation, model validation, performance monitoring, and reproducibility. Collaborate cross-functionally with Product, Engineering, Clinical, and Analytics teams to ensure alignment of solutions with business objectives. Guide the creation of scalable data science and machine learning systems, including data preprocessing pipelines and production workflows. Monitor model performance, identify opportunities for enhancement, and spearhead continuous iteration and optimization. Effectively communicate technical concepts, methodologies, and insights to both technical and non-technical audiences. Contribute to the recruitment, onboarding, and coaching of team members in India.

Founded in 1998, Inovalon is driven by the belief that technology and data can transform the healthcare ecosystem, enhancing both outcomes and economic efficiency. We are committed to empowering our clients with data-driven solutions that foster their success and subsequently improve healthcare for all. Together, as ONE Inovalon, we act as a cohesive unit addressing the most pressing needs of healthcare through a culture of inclusivity and innovation, ultimately benefiting millions of patients and members.Overview: The Staff Software Development Engineer L5 is responsible for all aspects of designing high-throughput, multi-tenant services. This role requires the ability to architect components with precision, manage error handling effectively, and produce clean, well-structured code that is maintainable and thoroughly tested.Duties and Responsibilities:Design resilient and secure distributed systems at scale from the ground up.Elevate engineering standards regarding scalability, resilience, and security through technical leadership and excellence.Explore, review, and influence new designs, architectures, and standards for unique service delivery.Research, design, and implement innovative technologies to expand Inovalon’s infrastructure with robust, scalable solutions.Champion the enterprise infrastructure vision and strategy.Serve as an authority on service reliability and sustainability.Develop and execute designs for complex systems based on rigorous engineering analysis.Gather and leverage metrics for managing server fleets and computing systems to drive automation and performance improvements.Take ownership of design, analysis, testing, and optimization processes.Set team goals related to project impact, product quality, and engineering efficiency.Lead significant initiatives, projects, and team rollouts.Mentor new team members to ensure their successful integration and ramp-up.Collaborate closely with fellow engineers, various services within Inovalon, and external customers to understand requirements through a data-driven feedback loop.Adhere to all confidentiality, HIPAA, and regulatory policies and requirements.

About CrunchyrollFounded by passionate fans, Crunchyroll is dedicated to bringing the art and culture of anime to a vibrant community. We cater to over 100 million anime and manga enthusiasts across more than 200 countries and territories, connecting them with the stories and characters they love. Our offerings include online streaming, theatrical releases, games, merchandise, events, and more, all fueled by the anime content that resonates with fans worldwide.Join our dynamic team and play a pivotal role in shaping the future of anime!About the RoleAs Crunchyroll expands and evolves, we face unique challenges and opportunities to enhance the experience of millions of anime fans globally. The AI/ML team is pivotal in providing support to our internal stakeholders, ensuring a top-notch experience for all Crunchyroll users.Lead and mentor a skilled team of data scientists in developing and deploying cutting-edge ML solutions, including Graph Neural Networks (GNNs), Large Language Model (LLM) applications, and fraud detection systems.Define and execute the roadmap for AI/ML initiatives across Crunchyroll’s product and platform ecosystem.Collaborate closely with data engineering, software engineering, and DevOps teams to establish robust ML pipelines and infrastructure.Set best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments.Engage with stakeholders across business, marketing, security, and content teams to identify and transform AI opportunities into actionable projects.Ensure responsible AI/ML development by prioritizing model interpretability, performance, and fairness.Manage operational metrics concerning model impact, latency, cost, and system scalability.Foster a collaborative team culture centered on innovation, curiosity, and continuous learning.About YouWe are excited about candidates like you because...You hold a Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related quantitative field.You have 5+ years of industry experience in data science or applied machine learning, including 2+ years in a leadership role.You possess a proven track record of delivering production ML systems that address real-world business challenges.You have deep expertise in ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.You are familiar with building systems that utilize Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).