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Mid-level ML Engineer in Bangalore with generalist title and metro location drives high competition.
Core ML engineering skills transfer well across industries, so background sensitivity is low.
Explicit 5+ years requirement plus mandatory ML, cloud, and deployment skills make shortlisting strict.
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Develop, implement, and optimize machine learning solutions focusing on performance, scalability, and efficiency in production.
Lead small to medium-sized ML initiatives and own specific ML solution components.
Collaborate with engineers on integration, deployment, and support cross-functional teams with technical training and documentation.
More than 5 years overall experience with at least 2 years in data science, software development, or data engineering.
Bachelor's degree in engineering or equivalent.
Proficiency in AI model development, training, scoring, and deployment.
Location: Bangalore (explicit in job location).
Experienced in designing and fine-tuning ML models and pipelines for production environments with a focus on performance and scalability.
Proficient in Python and ML libraries such as TensorFlow, PyTorch, XGBoost, Scikit-learn, Spark ML, with experience on cloud platforms like Azure and Databricks.
Comfortable providing technical leadership, documentation, and cross-team support, including code reviews and collaborative infrastructure integration.