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Tier-1 brand, mid-level ML role, metro location, and broad full-stack ML skill requirements.
Core ML/AI skills are transferable across industries though finance-specific compliance increases domain sensitivity.
Explicit 6+ years requirement and mandatory ML, Python, cloud, and containerization skills increase filtering.
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Lead design, development, and deployment of Machine Learning, Generative AI, and Agentic AI models to address complex business problems.
Develop scalable Python-based AI/ML solutions including data preprocessing, model training, and integration with existing systems.
Monitor and optimize model performance while ensuring data security and compliance.
6+ years of experience in AI/ML with strong Python programming skills and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.
Hands-on experience with Machine Learning, Generative AI, and Agentic AI systems.
Bachelor’s degree or equivalent experience; Master’s degree preferred.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
Experience working in cross-functional teams to integrate AI/ML solutions into operational workflows.
Proficient in developing scalable AI systems with focus on autonomy and decision-making capabilities.
Comfortable working in fast-paced, collaborative environments requiring clear communication of technical concepts to non-technical stakeholders.