Role Overview Lingarogroup is seeking a Machine Learning and AI Engineer based in India. This role focuses on building and refining AI solutions that support business goals. The position involves hands-on work with current technologies and close collaboration with teams from different disciplines. What You Will Do Design and implement machine learning models for real-world applications Work with colleagues across departments to gather requirements and deliver effective solutions Optimize and maintain AI systems to ensure high performance

We are seeking a highly skilled Senior Machine Learning Engineer with a focus on Generative AI to join our dynamic team at Weave. In this role, you will be responsible for developing innovative machine learning models and algorithms that drive our cutting-edge solutions. You will work closely with cross-functional teams to integrate AI technologies into our products, enhancing user experience and operational efficiency.

Join our innovative team at Lingarogroup as a Machine Learning and AI Engineer. In this role, you will leverage your expertise in Google Cloud Platform (GCP) and Microsoft Azure to design and implement advanced machine learning models. You will work closely with cross-functional teams to solve complex problems and drive impactful solutions.

Role Overview Assent is hiring a Senior Data Engineer focused on Artificial Intelligence and Machine Learning for the Pune office. This position centers on building and maintaining data pipelines that power AI and ML solutions throughout the company. The work directly supports innovation and strengthens data-driven decision making across teams.

Join our innovative team at Weave as a Staff Machine Learning Engineer specializing in Generative AI. In this role, you will leverage your expertise in machine learning to develop cutting-edge AI solutions that enhance our product offerings and drive user engagement. You’ll work closely with cross-functional teams and be at the forefront of AI advancements, shaping the future of technology in our organization.

Join Level AI, a pioneering startup based in Mountain View, CA, dedicated to transforming the Voice AI landscape. Supported by leading venture capitalists and industry experts, our mission is to enhance the customer sales experience for businesses through groundbreaking innovations in speech AI, natural language processing (NLP), and information retrieval systems. As a vital member of our team, you will play a crucial role in shaping the future of AI within the business sector. Collaborating closely with a skilled group of technologists, you will tackle a diverse range of challenges that arise in this exciting field. Our team brings experience from renowned companies such as Amazon Alexa and Google, empowering you to explore innovative solutions as we strive to connect customers and businesses like never before.

At Level AI, established in 2019 and backed by Series C funding, we are at the forefront of transforming customer engagement across industries. Our headquarters in Mountain View, California, leads the way in revolutionizing contact centers into strategic assets with our innovative AI-native platform. By harnessing cutting-edge technologies, including Large Language Models, we extract profound insights from customer interactions, providing actionable intelligence that enhances customer experiences and fuels organizational growth. Continuously evolving with the latest AI advancements, Level AI is recognized as a pioneering and adaptable solution within the sector.As a Senior Machine Learning Engineer, you will play a pivotal role in empowering contact center stakeholders with real-time insights, facilitating data-driven decision-making that elevates service quality and agent performance. You’ll be immersed in groundbreaking technology and will collaborate with industry veterans from Amazon, Facebook, Google, and other leading tech firms. Join Level AI, where you can enjoy a dynamic work environment while learning, growing, and redefining the possibilities of AI-driven enterprise applications!

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.

Join our innovative team at HackerRank as a Machine Learning Engineer, where you'll play a crucial role in developing cutting-edge machine learning models. This position is ideal for individuals passionate about artificial intelligence and eager to contribute to groundbreaking projects in a collaborative environment.

Transforming the quality of human interactions through advanced conversational AI.Machine Learning Engineer - GeneralistLocation: Bengaluru, IndiaExperience: 5 to 10+ yearsAbout the Team:The team at Symbl.ai is a vibrant and innovative group of specialists committed to enhancing the field of Conversational AI. We prioritize creativity and collaboration, striving to redefine the landscape of AI-driven communication technologies.About the Role:As a Machine Learning Engineer - Generalist at Symbl.ai, you will be instrumental in refining and expanding our Conversational AI platform, particularly focusing on our latest product, Nebula. You will engage in exciting projects that encompass machine learning and the unique features of Nebula, significantly contributing to the advancement of our technology stack.Key Responsibilities:Collaborate with cross-disciplinary teams to design and implement machine learning algorithms and models for Nebula and related Conversational AI projects.Develop and enhance data pipelines and workflows that facilitate machine learning model training and deployment.Participate in the design and architecture of Nebula's features, utilizing machine learning methodologies to improve functionality.Conduct experimental analyses to boost model performance and accuracy, iterating on algorithms and approaches as necessary.Contribute to the assessment and integration of third-party tools and libraries to strengthen our ML framework.Stay updated on the latest trends in machine learning and AI research, integrating new techniques and methodologies into our initiatives as needed.Why Join Us?By joining Symbl.ai, you will be at the cutting edge of Conversational AI innovation, playing a crucial role in shaping the future of communication with state-of-the-art technology. You will have the opportunity to make a meaningful impact on the development of Nebula and other pioneering projects.

Join Our Team at ParspecFounded in 2021, Parspec is transforming the material procurement landscape for the $13 trillion USD construction sector by digitizing and organizing product data. Our proprietary AI technology offers a comprehensive and up-to-date catalog of millions of products, allowing our clients to effortlessly identify the best products that suit their needs. Trusted by leading designers, builders, distributors, and sales agents, and supported by top venture investors, Parspec is paving the way for a more innovative, connected, and sustainable future in construction.Become a part of our mission to develop groundbreaking technology that reshapes one of the world’s oldest and largest industries.The RoleWe are on the lookout for a skilled and enthusiastic Machine Learning Engineer to become a vital member of our AI team. In this role, you will be instrumental in designing, developing, and deploying state-of-the-art machine learning models, including solutions based on Natural Language Processing (NLP) and Large Language Models (LLMs). You will tackle complex data science challenges while collaborating closely with product, engineering, and business teams to deliver impactful AI-driven features.This is a unique chance to be at the forefront of innovation, utilizing advanced AI technologies to disrupt an industry ready for digital transformation.Key ResponsibilitiesAI System DevelopmentCreate and develop Computer Vision, NLP, and Recommendation Systems tailored for our applications.Conduct research and implement innovative deep learning architectures to address challenging data science problems.Develop, train, and deploy scalable and extensible deep learning and machine learning models.Full Product Lifecycle EngagementWork alongside product managers, UX designers, and end-users to seamlessly integrate software and AI components into fully functional systems.Engage in the complete product lifecycle—from conceptual design to development, integration, testing, and deployment.Building Scalable SolutionsDevelop products capable of efficiently handling large volumes of data while ensuring high scalability for new client onboarding.Design comprehensive end-to-end data and ML pipelines for smooth integration into production environments.

About AiDASHAiDASH is a pioneering enterprise AI firm that specializes in providing vegetation risk intelligence for electric utilities. Utilizing our exclusive VegetationAI™ technology, we deliver a comprehensive remote grid inspection and monitoring platform that adopts a SatelliteFirst approach to identify and mitigate vegetation and other hazards impacting the grid. Our proactive strategy minimizes wildfire risks and reduces the effects of storms, enabling over 140 utilities to cut costs, enhance reliability, and lower liabilities across their infrastructure. AiDASH is dedicated to protecting critical utility systems and ensuring a sustainable future for humanity. Discover more at www.aidash.com.As a Series C growth company, we are supported by esteemed investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, and others. We are honored to be recognized by Forbes for two consecutive years as one of “America’s Best Startup Employers” and to feature in Time Magazine’s “America’s Top GreenTech Companies 2024.” Recently, Deloitte Technology Fast 500™ ranked us No. 12 among companies in the San Francisco Bay Area and No. 59 overall among their top 500 for 2024.Join us in Securing Tomorrow!The RoleWe are seeking a highly experienced Staff Machine Learning Engineer to define and expand the core of our production ML ecosystem. In this capacity, you will design high-performance ML systems that drive our geospatial intelligence platform, converting extensive satellite and aerial imagery into actionable insights. Your responsibilities will encompass complete ownership—from model deployment and MLOps to infrastructure design—while collaborating closely with data science, platform engineering, and product teams to deliver dependable, scalable, and cost-effective ML solutions. If you excel at the intersection of advanced technical knowledge, system architecture, and cross-functional teamwork, this opportunity is for you.How You'll Make an Impact:ML System Architecture & Production DeploymentDesign, build, and maintain end-to-end ML pipelines for batch processing...

Join Bazaarvoice as a Senior Machine Learning Engineer and help shape the future of smart shopping experiences. In this pivotal role, you will leverage your expertise in machine learning and artificial intelligence to design and implement innovative solutions that connect brands with consumers, enhancing their shopping journey. You will be part of a dynamic team focused on harnessing user-generated content to create impactful insights and drive business growth. Work in a collaborative environment where your contributions are valued, and take part in solving the challenge of establishing genuine connections between brands and consumers.

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 Consuma as a Machine Learning Engineer, where you'll be responsible for designing and enhancing AI systems that drive our innovative research platform. Your expertise will span across retrieval systems, large language models (LLMs), and intelligent workflows to elevate brand research from brief to comprehensive reports in mere minutes.

Join Bosch Group as a Senior Machine Learning Engineer and be at the forefront of innovative technology solutions. You will leverage your expertise in machine learning to develop cutting-edge models and algorithms that drive our projects forward. Collaborate with a dedicated team to implement real-world applications of AI and machine learning, contributing to the advancement of our products and services.

Join blueoptima as a Senior Machine Learning Founding Engineer and play a pivotal role in shaping innovative machine learning solutions. As a founding member, you will leverage your expertise to design, develop, and deploy cutting-edge ML algorithms that drive our business forward.This position offers a unique opportunity to work in a dynamic startup environment where your contributions will directly impact our growth and success.

Join our innovative team as a Senior Machine Learning Engineer where you'll leverage your expertise to develop advanced machine learning algorithms and models that drive impactful business solutions. You will play a critical role in shaping our AI strategies and collaborate with cross-functional teams to integrate machine learning into our products.

Teamwork makes the stream work. Roku is revolutionizing the way the world engages with television.As the leading TV streaming platform in the U.S., Canada, and Mexico, we aim to empower every television globally. Roku has been at the forefront of streaming technology, and our mission is to be the ultimate TV streaming ecosystem. We connect viewers with their favorite content, offer content creators a platform to build and monetize their audiences, and provide advertisers with unique engagement opportunities.From day one at Roku, your contributions will be recognized and valued. We are a rapidly expanding public company where every individual plays a pivotal role. Join us in bringing joy to millions of TV streamers while gaining invaluable experience across various disciplines. About the RoleWe are on the lookout for an exceptional and innovative Machine Learning Platform Engineer to join Roku's Recommendation team. In this position, you will design, construct, and scale robust distributed systems that deliver personalized content recommendations to millions of Roku users. Your focus will be on developing comprehensive machine learning platforms and infrastructure that ensure seamless deployment, monitoring, and optimization of algorithms and operational workflows, providing unique experiences at scale.What You'll Be DoingDesign, develop, and maintain scalable platform services, such as feature stores, real-time inference services, and vector databases, capable of handling millions of transactions per second.Execute and monitor online A/B tests using robust platform services while analyzing platform metrics and business KPIs to enhance recommendation system performance.Collaborate closely with U.S.-based engineering and cross-functional teams to convert business requirements into modular platform components and APIs.Advance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs.Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies.We’re excited if you have5+ years of experience building...