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Strong Tier-1 employer, mid-level Bangalore role with niche ML specialization leads to moderate competition.
Specialized ML engineering skills transferable across industries but require domain expertise, so moderate sensitivity.
Explicit 4–7 years plus mandatory ML model deployment and specific tech requirements increases shortlisting strictness.
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Develop, deploy, and maintain machine learning models ensuring scalability, reliability, and efficiency in production environments.
Design and optimize ML pipelines and systems, experiment with algorithms, and tune hyperparameters to improve performance.
Collaborate with CI/CD and research teams to enable seamless model deployment and automated model training improvements.
Bachelor's or Graduate degree in Computer Science, Statistics, Mathematics, Data Science, or related discipline, or equivalent experience.
4-7 years of work experience in programming, machine learning, algorithms, or statistical methods; or advanced degree with 3-5 years experience.
Proficiency in programming languages like Python, Java, C++, and ML libraries such as TensorFlow, PyTorch, and scikit-learn.
Experience with cloud platforms like AWS and Microsoft Azure; familiarity with ML model deployment and lifecycle management.
Experienced in designing and leading ML projects impacting multiple teams, with some leadership or project direction responsibility.
Strong operational focus on deploying and maintaining ML models in production with integration into CI/CD pipelines.
Advanced knowledge of ML techniques including hyperparameter tuning, model validation, and scalable pipeline development.