Machine Learning Engineer

360DigiTMG

5 - 8 years

7 - 10 Lacs

bengaluru

Posted:14 hours ago| Platform:

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Skills Required

computer science computer vision backend version control git neural networks machine learning data structures object oriented programming python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Description:

This is a production-oriented Machine Learning Engineer role with strong MLOps and data engineering responsibilities, focused on building, deploying, and operating AI solutions across CV, LLMs/NLP, tabular, and time-series on cloud infrastructure (Azure/Kubernetes) within a cross-functional global team.

Roles & Responsibilities:

Design, develop, train, test, and deploy ML models for computer vision, NLP/LLMs, tabular, and time-series use cases, iterating via experiments and evaluations to meet accuracy and latency targets in production environments.
Implement MLOps: build reproducible pipelines, manage a model registry with versioning and lineage, automate CI/CD, and monitor data drift and model performance on Azure/Kubernetes.
Build and maintain data pipelines to collect, curate, transform, validate, and version datasets for training and inference, ensuring quality and governance throughout the lifecycle.
Expose inference and data services via Python APIs (FastAPI/Flask), containerize with Docker, and deploy scalable endpoints backed by observability and rollback strategies.
Collaborate with PMs, Data Scientists, and Software/Data Engineers to align solutions with business needs and deliver reliable, secure AI services used globally.

Key Skills & Requirements:

You have a Bachelor or Masters Degree in Data Science, Computational Statistics/Mathematics, Computer Science or related field
You know the basics of neural networks and have an initial practical experience with deep learning frameworks like PyTorch and Tensorflow.
You have experience in backend and API development with Python (FastAPI, Flask) or similar.
You demonstrate knowledge of and basic practical experience with Object Oriented Programming, design patterns, algorithms and data structures, version control systems (e.g. Git).
Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus Fluent English.

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