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Tier-1 brand, metro location, mid-level ML role with broad skillset increases candidate competition.
Core ML engineering skills and frameworks are broadly transferable across industries, lowering background sensitivity.
Explicit 4–7 years requirement and specific ML stack and deployment experience make filters strict.
Develop, deploy, and maintain machine learning models and integrated software solutions supporting their full lifecycle.
Optimize model performance through training, validation, hyperparameter tuning, and retraining when necessary.
Design and implement ML pipelines and ensure scalable, reliable production deployment in collaboration with CI/CD teams.
Bachelor's or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related field, or equivalent experience.
4-7 years of relevant work experience in machine learning, programming, algorithms, or related domain (or advanced degree with 3-5 years experience).
Proficiency in machine learning frameworks and programming languages such as Python, Java, C++, TensorFlow, PyTorch, and scikit-learn.
Experience with cloud platforms (AWS, Microsoft Azure) and big data tools like Apache Spark.
Experienced in deploying scalable ML solutions in production environments, collaborating with cross-functional teams including CI/CD engineers.
Skilled in designing and optimizing ML systems, pipelines, and automated training processes to maximize efficiency.
Comfortable working on moderately complex technical problems with some leadership or project coordination responsibilities.