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Tier-1 brand, Bangalore location and broad ML skills increase competition while senior specialization reduces applicant density.
Medium: core ML skills transferable, but regulatory, governance and banking domain requirements increase fit sensitivity.
High: strict years, mandatory ML/NLP/CV expertise and leadership responsibilities.
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Lead AI/ML squad delivery, ensuring execution of solutions aligned with business requirements and on schedule.
Design, develop, deploy, and monitor end-to-end ML models across NLP, computer vision, and other ML techniques with responsibility for model performance and improvements.
Manage, mentor, and hire team members; manage stakeholder relationships and project governance including risk identification and remediation.
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.
Strong software engineering skills in Java or Python, C/C++ and experience with ML frameworks like TensorFlow or PyTorch.
Work location: Bangalore, India; Employment Type: Permanent; Work Type: Office-based.
Proven ability to lead cross-functional AI/ML delivery teams including technical mentoring and project governance.
Experienced in applying advanced ML techniques (classification, clustering, deep learning) and model lifecycle management in enterprise contexts.
Skilled in stakeholder management across engineering, product, and business functions, with accountability for risk and governance in regulated environments.