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Qualifications
Proven experience in AI and machine learning frameworksStrong programming skills, preferably in Python or similar languagesFamiliarity with cloud services and big data technologiesExcellent problem-solving abilities and analytical skillsAbility to work independently in a remote environment
About the job
GitLab is looking for an AI Engineer to support the ongoing development of its DevOps platform. This position is remote and based in Bangalore. The main focus is on using artificial intelligence to enhance product capabilities and improve user experiences.
Key responsibilities
Collaborate with engineers to design and refine AI-powered features within GitLab’s platform
Use current AI technologies to address real-world challenges in software development
Offer ideas and technical solutions that influence how software is built and delivered
Collaboration and team culture
Work alongside experienced colleagues who prioritize practical outcomes and clear communication. Team members regularly share knowledge, tackle problems together, and contribute to steady project progress.
About GitLab Inc.
GitLab is a global company that provides an open-source platform for the entire DevOps lifecycle. We believe in the power of collaboration and openness, empowering teams to deliver software faster and more efficiently.
About ZscalerZscaler stands at the forefront of zero trust security, empowering the world’s largest enterprises, critical infrastructure organizations, and government bodies to protect their users, branches, applications, data, and devices. Our cutting-edge Zscaler Zero Trust Exchange platform, fortified by advanced AI, effectively mitigates billions of cybe…
Netradyne’s Bangalore team is hiring a Staff Data Engineer focused on machine learning and data platforms for AI-powered fleet analytics. This senior technical position shapes the systems that power Netradyne’s driver safety and fleet management products, working closely with experts in machine learning, data science, and product development. Role overview This role centers on designing, building, and scaling machine learning pipelines that support advanced analytics and generative AI features. The Staff Data Engineer will also implement real-time data streaming systems for both cloud and edge environments, contributing directly to the infrastructure behind Netradyne’s Physical AI vision. This vision interprets multimodal vehicle data to understand the interplay between drivers, vehicles, and their surroundings. What you will do Design and scale robust machine learning pipelines for large-scale fleet analytics Develop generative AI features that enhance Netradyne’s analytics capabilities Build and maintain real-time data streaming systems across cloud and edge platforms Work closely with machine learning engineers, data scientists, and product teams to integrate new AI-driven features Advance on-device edge intelligence and natural language-driven functionalities within the platform Shape the data infrastructure to better understand interactions between drivers, vehicles, and environments Location This position is based in Bangalore.
Netradyne leverages cutting-edge Computer Vision and Edge Computing to transform the transportation landscape. As a pioneering entity in fleet safety solutions, we have experienced an extraordinary growth rate of over 400% annually. Our innovative approach is rapidly establishing our technology as a disruptive force within the industry. To sustain our trajectory, we are actively seeking visionary and competitive individuals to join our expanding team.Key Responsibilities:In the role of Staff Software Machine Learning Engineer specializing in System Optimization, you will be responsible for designing and refining processes to guarantee the efficient and high-performance functionality of our proprietary driver monitoring and assistance technology. Your key responsibilities will include:Developing and enhancing tools, frameworks, and reporting systems for system optimization.Optimizing software for deployment across IoT devices, including implementation on GPU/CPU/DSP platforms.Advancing data platforms and fine-tuning machine learning models utilized on our platforms.Refining driver monitoring and assistance algorithms to enhance system efficiency and track crucial performance indicators (KPIs).Handling production inquiries and ensuring the stability of applications in live environments.Effectively communicating complex technical findings to a diverse audience.
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.
About UsAs electric vehicles are projected to account for almost 30% of new vehicle sales by 2025 and over 50% by 2040, the shift towards electric mobility is inevitable. ChargePoint (NYSE: CHPT) is at the forefront of this transformation, operating one of the world's most extensive EV charging networks and providing a complete suite of hardware, software, and mobile solutions tailored for every charging requirement across North America and Europe. We connect drivers, businesses, automakers, policymakers, utilities, and other stakeholders, making e-mobility a global reality.Since our inception in 2007, ChargePoint has dedicated itself to simplifying the transition to electric for businesses, fleets, and drivers. Joining ChargePoint offers a unique chance to contribute to creating an all-electric future and tapping into a trillion-dollar market.At ChargePoint, we cultivate a vibrant and productive work environment, rooted in our core values: Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These principles shape our daily interactions and collective efforts to build a brighter future for everyone.Become part of the team that is shaping the EV charging landscape and leave your imprint on how people and goods navigate their journeys for generations to come.
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.
Join parspec as an AI Operations Engineer and become a key player in our innovative technology team. In this hybrid role based in Bangalore, India, you will leverage your expertise in AI operations to enhance our processes and deliver cutting-edge solutions. Your contributions will be vital in ensuring the seamless integration of AI technologies into our systems.
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 Team as a Senior AI/ML Engineer!We are seeking a highly skilled Senior AI/ML Engineer to contribute to our innovative projects at Brillio. You will play a pivotal role in developing advanced machine learning models and artificial intelligence solutions that drive business success. Collaborate with cross-functional teams to design, implement, and deploy AI/ML applications that solve real-world challenges. If you are passionate about AI/ML and eager to work in a dynamic environment, we want to hear from you!
About ParspecFounded in 2021, Parspec is at the forefront of transforming material procurement within the $13 trillion USD construction industry. By digitizing and systematically organizing product data, our innovative AI technology provides a current and comprehensive catalogue of millions of products. This empowers our clients—designers, builders, distributors, and sales agents—to swiftly identify the products that align perfectly with their requirements. Supported by leading venture investors, Parspec is committed to paving the way for a more sustainable, connected, and innovative future in construction.Join us in creating transformative technology that reshapes one of the world’s oldest and largest industries.The OpportunityWe are on the lookout for a skilled and passionate Senior Machine Learning Engineer to become a vital part of our AI team. In this role, you will spearhead the development of advanced AI systems, designing, developing, and deploying state-of-the-art machine learning models, including optimizations for large language models (LLMs). You will be faced with complex data science challenges, working collaboratively with business, product, and engineering teams to deliver impactful AI-driven features. As a Senior ML Engineer, you'll lead intricate technical projects while mentoring junior team members and driving initiatives from conception through to deployment.This position provides a unique chance to be at the leading edge of innovation, utilizing advanced AI technologies to disrupt the construction industry.What You Will Achieve and Key ResponsibilitiesResearch, Design, Develop and Deploy AI Models and SystemsLead the research and development of diverse AI models, from small classifiers to fine-tuning LLMs for specific applications.Design, implement, and deploy AI-based solutions addressing business and product challenges.Establish and execute strategies to monitor and enhance the performance and efficiency of existing and new AI models and systems.Operationalize efficient dataset creation and management.Implement best practices for end-to-end data and AI pipelines.Collaborate closely with the leadership team on research and development initiatives to explore cutting-edge technologies.Work in partnership with cross-functional teams, including full-stack engineers, product managers, QA engineers, data annotation experts, and other stakeholders to ensure the successful implementation of AI technologies.
Join Reltio as a Senior AI Engineer, where your expertise will drive innovative AI solutions that transform data into actionable insights. You will collaborate with cross-functional teams to develop and implement advanced algorithms, ensuring scalability and performance. Your role will be pivotal in enhancing our AI capabilities and delivering high-quality products that meet customer needs.
About Glean:Founded in 2019, Glean is an innovative AI-driven knowledge management platform that empowers organizations to swiftly discover, organize, and share information across teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean enables employees to access the right knowledge at the right time, enhancing productivity and collaboration. Our state-of-the-art AI technology simplifies knowledge discovery, making it quicker and more efficient for teams to leverage their collective intelligence.Glean was established by Founder & CEO Arvind Jain, who deeply recognized the challenges employees face in finding and comprehending information at work. Witnessing firsthand how fragmented knowledge and an array of SaaS tools hinder productivity, he sought to create a better solution—an AI-powered enterprise search platform that allows users to quickly and intuitively access the information they need. Since then, Glean has evolved into a leading Work AI platform, merging enterprise-grade search, an AI assistant, and robust application- and agent-building capabilities to fundamentally transform how employees work.About the Role:Glean is on the lookout for talented engineers to contribute to the development of the world's premier search and assistant product for professional environments. Our engineers engage with a variety of systems across the stack, including query understanding, document comprehension, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We prioritize regular interactions with customers, striving to thoroughly understand their challenges and employing any necessary tools—simple or complex—to address their needs.Your Responsibilities:Create innovative signals to enhance the personalization of our search engine.Train models to capture interactions between signals in our ranking framework.
This Senior AI/ML Engineer role is a 12-month contract based in Bangalore, Karnātaka, India, with the possibility of extension depending on performance. The position is part of TransPerfect's collaboration with Motorola, where the selected engineer will join Motorola’s AI group. Motorola is recognized globally in telecommunications, and this team focuses on delivering AI solutions that reach millions of users. Role overview The Senior AI/ML Engineer will design, train, and deploy advanced machine learning models supporting new features across a range of devices and services. The work directly shapes products used by a broad, global audience. What you will do Develop and refine machine learning algorithms for use in production environments. Conduct experiments, evaluate model performance, and recommend practical improvements. Lead and collaborate with engineering teams to deliver AI solutions ready for deployment. Document workflows and results to ensure scalability and support future development. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5-7 years of experience building and deploying machine learning models. At least 3 years in a leadership or lead engineering role. Strong Python programming skills and hands-on experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Solid understanding of data preprocessing, model evaluation, and hyperparameter tuning. Experience with SQL, Pandas, NumPy, and working with both structured and unstructured data. Familiarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow) is a plus. Experience with cloud platforms like AWS, Azure, or GCP is preferred. This contract position offers the chance to work closely with Motorola’s AI team, contributing to projects that have a global impact.
Minimum of 3 years' experience in Python programming with a focus on AI/ML, deep learning, and the development of Generative AI models.Expertise in using TensorFlow, PyTorch, Hugging Face Transformers, and Langchain libraries.Practical experience with Natural Language Processing (NLP), LLM prompt design, fine-tuning, embeddings, vector databases, and agentic frameworks.Deep understanding of machine learning algorithms, probability, and optimization techniques.Over 6 years of experience in deploying models using Docker, Kubernetes, and cloud services such as AWS Bedrock, SageMaker, and GCP Vertex AI, utilizing MLOps and CI/CD pipelines.Knowledge of retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), and low-rank adaptation (LoRA) fine-tuning.Capability to write scalable, production-ready machine learning code and optimize model inference.Experience in developing machine learning pipelines for text classification, summarization, and chat agents.Familiarity with SQL and NoSQL databases, Snowflake, and Databricks.
Join our dynamic team at HackerRank as a Machine Learning Engineer, where you will harness the power of AI to drive innovation and enhance coding skills across the globe. You will work on cutting-edge projects that challenge your technical expertise while collaborating with talented professionals in a hybrid work environment.
Role overview TGS is hiring a Senior AI/ML Engineer based in Bangalore, Karnātaka, India. This position centers on designing and implementing advanced machine learning algorithms and artificial intelligence solutions. The work plays a key role in transforming data into actionable insights that drive business outcomes. What you will do Develop and deploy machine learning models that power TGS products Collaborate with teams from various disciplines to ensure models remain scalable and effective Enhance user experience by integrating AI-driven features Translate complex data into practical solutions for customers and stakeholders Collaboration This role involves close partnership with cross-functional groups to build and refine models that support product improvements and innovation across TGS.
About the TeamJoin our dynamic AI Deployment Engineering team, dedicated to facilitating the secure and effective implementation of Generative AI applications for a diverse array of developers and enterprises. As trusted advisors and thought leaders, we strive to build a compelling backlog of GenAI use cases tailored to various industries, guiding our clients from concept to production with robust technical support. Our clientele ranges from innovative startups to established multinational corporations, all seeking to harness the power of AI.About the RoleWe are in search of a skilled and business-savvy AI Deployment Engineer who is passionate about pushing the boundaries of advanced AI technology with our strategic startup partners. In this role, you will collaborate with some of the most exciting AI startups globally, supporting them through ideation, development, delivery, and scaling to enhance the value of their creations on our platform. You will engage with innovative and creative use cases developed on our API, acting as a vital contributor to gathering and delivering high-quality product and model feedback internally. Close collaboration with Sales, Solutions Engineering, Applied Research, and Product teams is essential, and you will report directly to the Startups Solutions Architecture Lead.This role offers the flexibility of remote work from Bangalore.In this role, you will:Collaborate closely with strategic startup partners as their technical advisor, assisting them in developing innovative applications on our API and expediting their journey from concept to scalability.Provide proactive insights to optimize business outcomes and accelerate the development of applications.Engage in experimental prototyping with customers, showcasing practical applications of AI.Contribute to open-source initiatives and promote growth within the function by sharing knowledge, codifying best practices, and creating valuable resources.Gather and relay meaningful feedback to Product and Research teams.Cultivate relationships within the startup ecosystem, acting as a technical partner for both individual clients and the broader community.You’ll excel in this role if you:Possess 5+ years of experience in software engineering, machine learning engineering, or a related field, preferably within a startup setting; experience as a founder or founding engineer is highly regarded.
GitLab is looking for an AI Engineer to support the ongoing development of its DevOps platform. This position is remote and based in Bangalore. The main focus is on using artificial intelligence to enhance product capabilities and improve user experiences. Key responsibilities Collaborate with engineers to design and refine AI-powered features within GitLab’s platform Use current AI technologies to address real-world challenges in software development Offer ideas and technical solutions that influence how software is built and delivered Collaboration and team culture Work alongside experienced colleagues who prioritize practical outcomes and clear communication. Team members regularly share knowledge, tackle problems together, and contribute to steady project progress.
Join mexdigital as an AI & ML Engineer in our Bangalore office, where you will have the opportunity to work on cutting-edge artificial intelligence and machine learning projects. You will collaborate with a talented team to develop innovative solutions that drive efficiency and effectiveness across various sectors.
