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Tier-1 employer, Bangalore metro, and broad ML/Gen-AI production skillset increase candidate competition.
Advanced ML, productionization, and agentic/lineage expertise favor ML-specific backgrounds over generic applicants.
Explicit 9–10 years requirement, senior ML specialization, production deployment, and leadership expectations make filters strict.
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Lead design, development, and deployment of scalable AI and machine learning solutions aligned with business requirements.
Conduct research to stay current with AI/ML advancements and apply cutting-edge techniques to improve models and algorithms.
Provide technical leadership, mentor junior team members, and present strategic insights to senior stakeholders.
Bachelor's or Master’s degree in computer science, engineering, data science, machine learning, AI, or related quantitative field.
9-10 years of relevant experience in AI and machine learning engineering.
Proficiency in programming languages (Python, R, or Java) and ML frameworks (TensorFlow, PyTorch, sci-kit).
Hybrid work model requiring approx. 2 days/week onsite at HPE office.
Experienced in end-to-end AI/ML system architecture including model selection, hyperparameter tuning, and production deployment with scalability and security focus.
Demonstrated ability to lead technical design reviews and mentor teams in complex AI/ML projects.
Strong foundation in advanced machine learning techniques, including deep learning architectures and agentic frameworks (e.g., langGraph) with lineage tracking expertise.