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Mid-level ML role in metro with common ML, Databricks and Azure skills increases applicant competition.
Specialized ML and deployment skills are moderately transferable across industries.
Explicit 3-4 years plus required ML, DL, Azure/Databricks and deployment skills.
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Own end-to-end application of machine learning and data science techniques across diverse domains and business functions.
Perform model testing, performance analysis using evidence-based statistical methods, and post-live monitoring of deployed solutions.
Collaborate with architects, data engineers, and deployment teams in an agile environment to assist in model deployment including API creation and containerization.
3-4 years of relevant experience in data science or related roles.
Bachelor's or Master's degree in STEM field such as Computer Engineering, B.Tech/B.E. or equivalent.
Strong proficiency in Python and R, following coding standards like PEP8 or Google Python.
Experience with SQL-based RDBMS; exposure to deployment strategies (API, Docker) and platforms like Azure and Databricks preferred.
Experienced in applying statistical ML techniques, deep learning, computer vision, and NLP across varied industry domains and business functions.
Comfortable working under intermittent guidance within an agile team, collaborating closely with technical teams for deployment.
Technically proficient with practical knowledge in model testing, performance analysis, and post-live monitoring to ensure solution robustness.