AI and machine learning jobs in Bengaluru

Machine learning engineers build models and put them into products: search ranking, recommendations, fraud detection, computer vision, speech and language. Bengaluru has a large ML community spread across product companies, global research and engineering centres, and AI startups.

Roles range from applied research, where you read papers and train new models, to ML engineering, where you make existing models fast, reliable and cheap in production. Most jobs sit in between.

What the work involves

• Frame a product problem as a machine learning task and pick a sensible baseline.
• Prepare training data, train and evaluate models, and run offline and online experiments.
• Deploy models behind APIs or in batch jobs and monitor them for drift.
• Read recent research and judge what is worth trying.

Skills employers look for

• Python
• PyTorch or TensorFlow
• Machine learning and deep learning fundamentals
• Feature engineering and evaluation metrics
• SQL and data processing
• Model serving basics
• NLP or computer vision for specialised roles

How interviews usually run

Expect a coding round (often data structures and algorithms), a machine learning fundamentals round (bias and variance, regularisation, loss functions, evaluation), and an ML system design round such as designing a recommendation system or a spam filter end to end, including data, features, training, serving and monitoring.

Research-leaning roles add a paper discussion or a deep dive on a model you trained.

How to stand out

• Show a model you took all the way to production, and what changed for users.
• Know your evaluation metrics and why you chose them; it is the most common weak spot.
• Open-source work or reproducible projects carry weight in this field.