6,245 job opportunities for machine learning engineer in India updated today
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VoicegainJob Title : Senior Machine Learning Engineer (ML SDE-3)Location: Bangalore. Hybrid Type: Full-time Experience: 7 - 10 Years Reports to: ML Technical Lead About Voicegain Voicegain is a rapidly growing Voice AI startup with offices in Santa Clara, Dallas and Bangalore. Voicegain has two main product
People Prime WorldwideDevelop and deploy AI/ML models using Python. Work with LLM-based solutions (prompt engineering, fine-tuning, embeddings, model evaluation). Build scalable ML pipelines for training, inference, and automation. Analyze datasets and develop algorithms to solve business problems. Integrate AI models in
People Prime WorldwideDevelop and deploy AI/ML models using Python. Work with LLM-based solutions (prompt engineering, fine-tuning, embeddings, model evaluation). Build scalable ML pipelines for training, inference, and automation. Analyze datasets and develop algorithms to solve business problems. Integrate AI models in
Key Responsibilities: Design, implement, and deploy scalable ML/AI solutions in production, including agentic workflows, chatbots, and Gen AI applications. Collaborate with data scientists, engineers, product teams, and strategic customers to translate complex problems into cloud-ready AI solutions.
Cerebra IT Services Private LimitedDescription: 6+ years of experience in MLOps / ML Engineering / Data Engineering roles. Strong hands-on experience with Model Monitoring, Model Drift / Data Drift Detection, and model performance tracking. Expertise in Google Cloud Platform (GCP) including: Vertex AI (Pipelines, Model Monitoring, Mo
Cerebra IT Services Private LimitedDescription: 6+ years of experience in MLOps / ML Engineering / Data Engineering roles. Strong hands-on experience with Model Monitoring, Model Drift / Data Drift Detection, and model performance tracking. Expertise in Google Cloud Platform (GCP) including: Vertex AI (Pipelines, Model Monitoring, Mo
Cerebra IT Services Private LimitedKey Responsibilities: Develop, train, and deploy machine learning models using TensorFlow, PyTorch, and scikit-learn. Build and manage ML workflows with Vertex AI, BigQuery ML, and Feature Store. Implement APIs and services using Python and FastAPI for model deployment. Monitor models in production
Cerebra IT Services Private LimitedTechnical Environment / Tools: GCP (Google Cloud Platform) Vertex AI Core Skills / Tools & Expected Proficiency Data Drift & Model Drift Monitoring — Advanced Apply statistical drift-detection techniques to identify shifts in input data. Detect drift in incoming image-based datasets and quantify shi
Cerebra IT Services Private LimitedKey Responsibilities: MLOps Implementation: Deploy and manage machine learning models in production environments. Implement best practices for CI/CD and automated ML pipelines. Model Monitoring: Continuously monitor model performance and health. Detect and address model drift to maintain accuracy an
Cerebra IT Services Private LimitedRoles & Responsibilities: Design, develop, and deploy machine learning models using TensorFlow, PyTorch, and scikit-learn. Implement model serving and APIs using Python and FastAPI. Build, manage, and utilize ML pipelines on GCP, including Vertex AI, BigQuery ML, and Feature Store. Monitor ML model
Design, develop, and maintain automated pipelines for input data ingestion and output model deployment to SAT environments. Collaborate with data engineering and AI/ML teams to ensure seamless integration of data and models across environments. Build CI/CD workflows for ML model lifecycle management
Key Responsibilities: End-to-End Prototyping: Build cross-stack prototypes using ATLAS AI, CDF, and open-source AI frameworks to solve real customer challenges. Agent Workflow Design: Design and implement multi-agent workflows that combine Large Language Models (LLMs), tool use, and reasoning over i
As an AI/ML Engineer, you will be responsible for developing AI/ML Solutions based on Deep learning, Reinforcement learning, Computer vision, Expert system, Transfer Learning, NLP, and Generative AI models. Design, and deliver ML architecture patterns operable in native and hybrid cloud architecture
TAC SecurityKey Responsibilities: Perform requirements analysis, identifying deficiencies, ambiguities, and outstanding questions. Distinguish clearly between business requirements, design, and implementation constructs. Follow established software patterns, development processes, and best practices. Write conc
Preferred Qualifications: Experience in AI/ML in the healthcare sector Experience working with cross-functional and distributed teams in a global and diverse environment Experience in establishing AI/ML best practices, standards, RUAI, and ethics Required Qualifications: Proven solid Python programm
Key Responsibilities: Pipeline Development: Design, build, and maintain scalable and reliable MLOps pipelines for automating the machine learning lifecycle. Model Deployment: Deploy machine learning models into production environments using Docker and Kubernetes for robust containerized infrastructu
Key Objectives: Translate business problems into ML/AI solutions with measurable impact. Build and optimize production-grade ML models that are scalable and reliable. Ensure robustness, fairness, and efficiency in ML pipelines. Drive adoption of AI/ML best practices across the organization. Core Res
Required Skills: 6 + years of experience in AI/ML, with a strong focus on GenAI integrations and APIs . Proficiency in Python , including libraries like TensorFlow, PyTorch , Scikit-learn, and Pandas. Strong expertise in statistical modeling and ML algorithms (Regression, Classification, Clustering,
Key Responsibilities: Develop and optimize machine learning models for document parsing, entity extraction, and information retrieval. Work with open-source NLP and visual language models (VLMs) for document structure understanding. Implement and fine-tune Generative AI models for various business u
Required Skills: 6 + years of experience in AI/ML, with a strong focus on GenAI integrations and APIs . Proficiency in Python , including libraries like TensorFlow, PyTorch , Scikit-learn, and Pandas. Strong expertise in statistical modeling and ML algorithms (Regression, Classification, Clustering,
₹9,95,000 – ₹15,80,000per year
Estimation confidence: High
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