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Specialized senior ML role at a known financial-services firm yields moderate candidate competition.
Applied ML/NLP production focus is transferable across industries, though BFSI domain knowledge is helpful.
Explicit 8+ years, production ML, governance, and advanced ML/NLP skills make shortlisting stringent.
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Design, build, validate, and deploy production-grade rule-based and machine learning models using structured and unstructured data.
Monitor, evaluate, and improve model performance while ensuring compliance with quality, security, explainability, and responsible AI guidelines.
Mentor data scientists and independently lead design, solutioning, and estimations, collaborating with multiple business and technical partners.
8-10+ years of relevant experience in data science or related fields.
Bachelor's degree in computer science, information technology or equivalent.
Proficiency in Python, statistics, hypothesis testing, feature engineering, machine learning frameworks (Scikit-learn, Tensorflow, Pytorch), NLP tools (spacy, Transformers, OCR), and generative AI techniques like prompt engineering.
Hybrid work location requirement with minimum 3 days per week in office.
Experienced in producing and managing production-grade AI/ML models with a strong focus on quality, security, explainability, and responsible AI use.
A mentor with prior experience guiding junior data scientists and leading project design and estimations independently.
Skilled in stakeholder engagement and able to collaborate across business, technology, and data & analytics functions.