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Machine Learning Jobs

Machine Learning Developer Jobs

Browse high-paying Machine Learning roles from top startups and enterprise companies across India.

16 Verified Positions
100% Direct Application & Verified
Senior (5+ years)
Hyderabad, Telangana, India
₹25,00,000 - ₹35,00,000 / year
Estimated

Optum India seeks a senior Data Engineer to build and maintain cloud‑based ETL pipelines using Databricks, Snowflake, Azure, and PySpark, ensuring high performance, data quality, and regulatory compliance. The role requires strong Python skills, workflow orchestration, and CI/CD expertise.

AI & Data Science Hybrid

AI/ML Data Engineer

3-5 years
Bengaluru, Karnataka, India
₹20,00,000 - ₹30,00,000 / year
Estimated

The AI/ML Data Engineer at Hewlett Packard Enterprise will design scalable data pipelines, deploy machine learning models, and collaborate with cross‑functional teams to transform support experiences. Candidates should have 3‑5 years of experience in Python, PySpark, and big data technologies.

Senior (5+ years)
Gurugram, Haryana, India
₹28,00,000 - ₹46,00,000 / year
Estimated

Google in Gurugram seeks a senior AI Research Scientist to lead the development of large multimodal models under the Gemini project. The role involves designing novel architectures, building scalable training pipelines, publishing research, and translating breakthroughs into Google products.

Senior (5+ years)
Bengaluru, Karnataka, India
₹28,00,000 - ₹46,00,000 / year
Estimated

Google's Paris office is hiring a senior Data Engineer for Ads & Analytics Platforms. The role focuses on building scalable data pipelines on Google Cloud, collaborating across product and data teams, and ensuring high‑quality data delivery for billions of users.

5-8 years
Hyderabad, Telangana, India
₹28,00,000 - ₹46,00,000 / year
Estimated

Google is hiring a Software Engineer III (Full Stack) for its Hyderabad campus to build scalable Google Cloud solutions. The role requires 5‑8 years of experience in Java/Python/Go, React, and GCP, with strong full‑stack and cloud engineering skills.

5+ years
Mumbai, Maharashtra, India
₹28,00,000 - ₹46,00,000 / year
Estimated

Google’s Mumbai team seeks a Machine Learning Engineer to develop and scale DeepMind‑driven search technologies. The role requires 5+ years of ML expertise, strong Python/TensorFlow skills, and experience delivering production models at massive scale.

5-8 years
Mumbai, Maharashtra, India
₹28,00,000 - ₹46,00,000 / year
Estimated

Google's Mumbai office is hiring a Software Engineer III (Full Stack) focused on Google Cloud. The role involves designing, building, and scaling end‑to‑end solutions using Java, Python, Go, and modern front‑end frameworks, while collaborating across product and reliability teams.

Senior (5+ years)
Bengaluru, Karnataka, India
₹28,00,000 - ₹46,00,000 / year
Estimated

Google Bengaluru is hiring a senior Machine Learning Engineer for the DeepMind & Search team. The role involves designing, building, and scaling ML models that enhance search relevance and knowledge retrieval for billions of users, requiring strong Python, TensorFlow/PyTorch, and large‑scale data engineering skills.

Senior (5+ years)
London, United Kingdom
£85,000 - £140,000 / year
Estimated

Google seeks a senior Machine Learning Engineer in London to develop and deploy large‑scale AI models for DeepMind and Search. The role requires 5+ years of ML experience, strong Python/C++ skills, and expertise in TensorFlow, PyTorch, and Google Cloud services.

Senior (5+ years)
Berlin, Germany
€90,000 - €145,000 / year
Estimated

Google Berlin is hiring a senior Cloud Solutions Architect to lead enterprise modernization initiatives on Google Cloud. The role involves designing scalable architectures, driving migrations, and mentoring teams, requiring 5+ years of GCP experience and strong DevOps skills.

Senior (5+ years)
Gurugram, Haryana, India
€70,000 - €110,000 / year
Estimated

Google's Paris office seeks a senior Machine Learning Engineer to drive DeepMind and Search innovations. Responsibilities include building scalable ML models, data pipelines, and collaborating with research and product teams.

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