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Tier-1 brand, metro location, and broad ML/MLOps requirements create high applicant competition.
Core ML skills transfer across industries, but banking RAI, governance and regulatory experience increase domain sensitivity.
Explicit 8-12 years, Master's plus AI certification, Azure/Databricks and RAI/governance requirements make filters highly stringent.
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Build, deploy, and maintain end-to-end machine learning models leveraging NLP, Computer Vision, and Gen AI techniques to support business growth and strategy.
Oversee AI/ML project delivery end-to-end including design, validation, performance monitoring, and improvements while ensuring compliance with Responsible AI standards.
Manage and mentor a team responsible for model development, project assignments, stakeholder management, and risk mitigation to ensure timely delivery of AI/ML solutions.
8-12 years of hands-on experience in developing and delivering AI/ML solutions.
Master’s degree with specialization in Technology and certification in AI and ML.
Proficiency in TensorFlow, PyTorch, NLP, Computer Vision, Azure cloud, Terraform, Python automation, Azure DevOps, and Kubernetes.
Work Location: Chennai, India; Work Type: Hybrid; Employment Type: Permanent.
Experienced in designing and deploying scalable AI/ML systems with strong software engineering acumen and cloud infrastructure skills.
Capability to lead AI/ML project governance, stakeholder communication, and risk management at senior associate level.
Background in managing teams focused on AI/ML model validation, enhancement, and operational governance within a regulated environment.