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Metro Bangalore role with broad AI requirements and popular ML title attracts moderate applicant competition.
Senior ML engineering requires specialized ML, deployment, and research skills, limiting cross-industry transferability.
Explicit 9–12 years requirement plus mandatory ML model deployment experience and specific frameworks.
Lead design, development, and scaling of production-grade AI systems with measurable business impact.
Own end-to-end AI solutions including problem definition, deployment, adoption, and continuous improvement.
Collaborate with Product, Engineering, and Delivery teams to build scalable AI capabilities such as agentic workflows and GenAI-powered systems.
9–12 years of relevant experience with proven ML model development and deployment.
Bachelor's degree in a related field.
Proficiency in programming languages like Python, R, or Java and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms and scalable computing resources.
Experienced in leading AI production systems beyond model development to full solution lifecycle ownership.
Strong interdisciplinary collaboration skills with Product and Engineering teams in fast-paced environments.
Deep understanding of statistics, optimization, probability, and experimental methodologies applied in business contexts.