Machine Learning Engineer Jobs in Bengaluru, India 🇮🇳

The work across these postings centres on building and improving machine learning systems, often with a strong lean toward large language models, document AI, and generative pipelines. Several roles at ABBYY focus specifically on document understanding — covering automated annotation, synthetic data generation, model training, and efficiency optimisation such as quantisation and pruning. The Principal ML Engineer at ABBYY combines people management with hands-on technical direction, while the model efficiency role is framed as a senior individual contributor position. The Applied AI/ML Engineer at Google involves designing multi-agent workflows for financial applications using evaluation frameworks and human-oversight safeguards. Across the broader set of titles, duties include building reproducible experimentation pipelines, benchmarking frameworks, and production annotation systems. A minority of postings carry MLOps or platform responsibilities, such as CI/CD integration and container orchestration, suggesting some roles sit closer to the infrastructure side of ML delivery.

A large majority of postings on this page are listed as onsite, with a smaller portion described as hybrid. None are listed as fully remote, and there are no unknowns in the work-mode data. The hybrid postings do not specify how many days on-site are expected, so candidates should check individual listings for that detail. The onsite designation suggests most employers expect regular in-person attendance at their Bengaluru offices, but precise arrangements are not stated in the fact pack.