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Tier-1 brand, mid-level generalist ML role in Bangalore attracts many qualified applicants.
Core ML and data skills transfer across industries, though finance domain experience could help.
Explicit 5+ years requirement plus deep ML, programming, and production deployment skills required.
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Develop, deploy, and maintain advanced machine learning models and statistical analyses to solve complex business problems.
Conduct exploratory data analysis to extract actionable insights and communicate findings to stakeholders across technical and non-technical levels.
Collaborate with business and technical teams to translate requirements into scalable data science solutions and provide mentorship to junior data scientists.
Minimum 5+ years of professional experience in data science, machine learning, or related analytical roles.
Proficiency in Python (libraries like scikit-learn, TensorFlow, PyTorch, Pandas, NumPy) or R; experience with SQL and large-scale databases.
Strong expertise in statistical modeling, hypothesis testing, experimental design, and machine learning algorithms (regression, classification, clustering, deep learning, NLP).
Familiarity with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
Experienced in end-to-end data science solution delivery including production model deployment and scalability considerations.
Able to translate complex analytical results into clear, actionable business strategies for diverse stakeholders.
Skilled in cross-functional collaboration and capable of mentoring peers to promote coding standards and best practices.