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Job Description
Structured overview of role & requirementsAbout This Role
Architect and maintain scalable ML pipelines and services optimized for low latency and high reliability serving millions of requests.
Translate complex ML models into production-grade code and lead POC initiatives to validate technical solutions.
Own end-to-end feature delivery lifecycle including requirement gathering and cross-team technical alignment.
Minimum Requirements
9+ years experience in software engineering and machine learning development.
Proven track record of architecting and deploying enterprise-scale Machine Learning solutions in production.
Bachelor’s or Master’s degree in Computer Science, AI, Mathematics, or related quantitative field.
Expert-level programming skills in Python and Java; proficiency in ML frameworks like PyTorch, TensorFlow, and experience with AWS or equivalent cloud infrastructure.
Ideal Candidate Profile
Expert in designing and operating large-scale ML systems with strong MLOps mastery and production excellence.
Experienced at bridging data science research with robust engineering implementation at enterprise scale.
Ability to lead technical strategy, mentor teams, and influence cross-product architectural decisions across complex organizations.