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Tier-1 brand plus sought-after ML skillset and metro location create moderate candidate competition.
Core ML/AI skills are transferable, but consulting and deployment experience moderately affect fit.
Explicit 7–10 years and many mandatory ML, cloud and deployment skills increase filtering rigidity.
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Design, develop, and optimize AI/ML models including NLP, computer vision, and predictive analytics for real-world applications.
Lead end-to-end AI solution development including data preprocessing, model deployment, and ongoing performance monitoring.
Collaborate with cross-functional teams, mentor junior members, and ensure ethical AI practices, data privacy, and compliance are followed.
7–10 years of experience in AI/ML development.
Bachelor's degree in Engineering (BE/B.Tech) required; M.Tech preferred.
Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
Experience with cloud platforms (AWS, Azure, GCP), data engineering, APIs, microservices, MLOps frameworks, and SQL.
Proven track record of leading AI projects and delivering scalable machine learning solutions that impact business outcomes.
Experience with advanced AI techniques including generative AI, large language models, and transformer architectures.
Operational style includes strong technical leadership, collaboration with diverse stakeholders, and mentoring junior staff.