Lead Machine Learning Engineer
5 days ago
About the Role We are looking for a highly skilled Lead - Machine Learning Engineer to lead the design, development, and deployment of large-scale ML solutions that power intelligent business applications. This role bridges data science, engineering, and product — ensuring that ML models move efficiently from prototype to production with scalability, reliability, and performance. You’ll collaborate with data scientists, software engineers, and product teams to architect and operationalize machine learning systems that deliver measurable business value. The ideal candidate combines deep technical expertise in machine learning infrastructure with strong leadership and mentorship capabilities. Key Responsibilities 1. Machine Learning System Design & Development Lead the end-to-end development of scalable ML systems — from data processing to model training, validation, deployment, and monitoring. Design high-performance pipelines for feature engineering, model serving, and real-time inference. Build reusable frameworks, SDKs, and components to accelerate ML deployment across teams. 2. MLOps & Automation Establish CI/CD pipelines for ML models, ensuring reproducibility, traceability, and automated rollout. Define best practices for model versioning, model governance, and monitoring (data drift, performance degradation, etc.). Integrate ML systems into production using cloud-native services (AWS, Azure, GCP) and orchestration tools (Kubernetes, Airflow, Kubeflow). 3. Leadership & Collaboration Lead and mentor a team of ML engineers, fostering a culture of technical excellence and continuous learning. Partner with data scientists to productionize research models, ensuring robustness, scalability, and maintainability. Work with product and engineering teams to align ML solutions with business objectives and delivery timelines. 4. Performance Optimization & Innovation Optimize training and inference performance using distributed computing, GPU acceleration, and efficient data pipelines. Evaluate new tools, frameworks, and technologies to improve model performance, scalability, and cost-efficiency. Champion best practices in responsible AI — including fairness, transparency, and compliance. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or related field. 6+ years of experience in machine learning or data engineering, including 3+ years in a senior or lead role. Strong proficiency in Python with experience in ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost. Knowledge of microservices architecture and API design for ML model serving. Expertise in MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI/CD systems (Jenkins, GitHub Actions, Argo). Deep understanding of cloud infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and data pipelines (Spark, Kafka, Snowflake, BigQuery). Solid experience with model monitoring, observability, and A/B testing frameworks. Strong understanding of software engineering principles — clean code, testing, version control, and documentation. Excellent communication and leadership skills with a proven track record of cross-functional collaboration. Nice-to-Have Experience with large language models (LLMs), retrieval-augmented generation (RAG), or generative AI pipelines. Exposure to feature stores (Feast, Tecton) and real-time data systems. Understanding of data governance, ethics, and security in AI systems. Full stack development familiarity to collaborate across front-end and back-end integration of ML services.
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Machine Learning Research Intern
2 weeks ago
bangalore, India Machine Learning Studies Full timeMachine Learning Research InternshipPlease fill out the questionnaire at https://forms.gle/RVkksEicv9Dz86rU8 (You will have to copy-paste the link, apologies for inconvenience)Are you passionate about diving deep into the realms of Machine Learning and Mathematics ? We're seeking enthusiastic interns to join our team for an immersive learning experience....
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Machine Learning Research Intern
2 weeks ago
bangalore, India Machine Learning Studies Full timeMachine Learning Research Internship Please fill out the questionnaire at (You will have to copy-paste the link, apologies for inconvenience) Are you passionate about diving deep into the realms of Machine Learning and Mathematics ? We're seeking enthusiastic interns to join our team for an immersive learning experience. Here's what you can expect:...
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Lead machine learning engineer
1 week ago
Bangalore, India ANSR Full timeHeadquartered in Berlin, Germany, 4flow provides consulting, software and services for logistics and supply chain management. More than 1300 team members leverage their supply chain expertise and IT know-how to best serve their customers at 20+ locations around the world. 4flow develops and implements lean, agile and sustainable supply chain strategies that...
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Lead Machine Learning Engineer
2 weeks ago
Bangalore Division, India Galent Full timeRole/Designation : Lead Machine Learning Engineer (Media Tech) Experience Range : 8+ years Gracenote, a Nielsen company, is dedicated to connecting audiences to the entertainment they love, powering a better media future for all people. Gracenote is the content data business unit of Nielsen that powers innovative entertainment experiences for the...
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Lead Machine Learning Engineer
2 weeks ago
Bangalore Division, India Galent Full timeRole/Designation : Lead Machine Learning Engineer (Media Tech) Experience Range : 8+ years Gracenote, a Nielsen company, is dedicated to connecting audiences to the entertainment they love, powering a better media future for all people. Gracenote is the content data business unit of Nielsen that powers innovative entertainment experiences for the world s...
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Sr machine learning engineer
4 weeks ago
Bangalore, India Specbee Full timeSenior Machine Learning Engineer About the Role: We are looking for a Senior Machine Learning Engineer who can take complex machine learning models and make them work in real-world production environments. This role is ideal for someone who not only has deep expertise in machine learning but also understands the challenges of deployment, scalability, and...
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Machine Learning Engineer
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Bangalore, India Jobted IN C2 Full timeOverview: Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers...
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Principal Machine Learning Engineer
3 hours ago
bangalore, India Informatica Full timePrincipal Machine Learning Engineer Informatica is on a journey to leverage generative AI to simplify cloud data management. Principal Machine Learning Engineer will be responsible for driving the overall architecture and pipelines to enable Machine Learning engineers to build, train and deploy Models at scale across multiple cloud services providers in a...
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Machine learning lead
4 weeks ago
Bangalore, India CoffeeBeans Full timeFounded in the year 2017, Coffee Beans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses...
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Machine Learning Engineer
3 days ago
bangalore, India YASH Technologies Full timeSkills/Qualifications:Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.5-6 years of hands-on experience in developing and deploying machine learning models.Proficiency in programming languages such as Python, R, or Java.Strong understanding of forecasting & revenue ERP environments (e.g.: Salesforce & SAP...
