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Mid-level ML/Data engineer title, metro location and known Tier-2 employer increase candidate competition.
ML and data engineering skills are transferable across industries but require domain ML experience.
No explicit years but mandatory Python, SQL and ML framework skills create moderate filtering.
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Develop, deploy, and optimize AI/ML models and data solutions using Python.
Design and manage data pipelines and processing workflows ensuring scalability and reliability.
Collaborate with backend and UI teams to integrate AI capabilities into products and solve business problems.
Proficiency in Python and SQL.
Hands-on experience with machine learning and AI tools/frameworks.
Experience in data processing, analytics, and model tuning.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in AI/ML model development and deployment with strong coding skills in Python.
Familiar with AI frameworks such as TensorFlow or PyTorch and cloud-based AI/ML platforms.
Able to manage end-to-end data workflows and work cross-functionally with engineering teams.