Senior AI ML Engineer

Senior AI/ML Engineer (4+ Years)

We’re building AI systems that convert unstructured visual data into structured, usable outputs that power real-world workflows.

This role focuses on solving messy, high-variability problems and delivering reliable systems in production, not just training models in isolation.

What You’ll Do

Build and improve end-to-end AI/ML pipelines (input ? preprocessing ? inference ? structured output)

Work with noisy, inconsistent datasets and drive improvements in data quality and model performance

Develop preprocessing pipelines (e.g., normalization, transformations, input standardization)

Run experiments, tune models, and evaluate trade-offs across accuracy, latency, and cost

Collaborate with engineering teams to productionize models (APIs, batch/real-time systems)

What We’re Looking For

~4 years of hands-on experience in ML/AI with exposure to computer vision

Strong Python skills with production-quality coding practices

Solid understanding of microservices and system design.

Experience building and deploying ML systems beyond experimentation

Experience working on systems that extract or process information from complex visual inputs (e.g., documents, forms, or similar structured outputs)

Strong understanding of neural network architectures (e.g., CNNs, Transformers, sequence models) and their real-world trade-offs.

Ability to:

Select appropriate approaches based on problem constraints

Fine-tune and optimize models for performance and reliability

Debug model behavior and failure cases in production

Strong understanding of evaluation metrics, error analysis, and model limitations

Good to Have

Experience with cloud environments (e.g., Azure or similar)

Familiarity with scalable data pipelines, containerization, or distributed systems

Exposure to multi-modal systems (vision + text)

What We Don’t Want

Only academic or demo project experience

Over-reliance on plug-and-play APIs without understanding internals

Inability to explain past work end-to-end (data ? model ? output ? impact)

Profiles focused only on generic image classification or object detection use cases without real-world deployment experience

Pay: ₹665,828.01 - ₹1,731,110.83 per year

Work Location: In person