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Tier-1 employer, Bangalore metro location, and generalist ML associate role drive high candidate competition.
ML, MLOps, and Azure skills are transferable, though finance domain knowledge is advantageous.
Mandatory ML, PyTorch, Azure, AKS, containerization, production support and API experience increase shortlisting strictness.
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Own end-to-end AI/ML lifecycle including data preprocessing, feature engineering, model development, deployment, and production support of intelligent services.
Collaborate with cross-functional teams to design, develop, and deploy scalable AI-enabled microservices primarily using Python and Azure cloud technologies.
Monitor and maintain deployed machine learning models and services, troubleshoot issues across application and infrastructure layers, and document technical solutions.
Strong hands-on experience with Python and related libraries/frameworks such as scikit-learn, Pandas, Numpy, and PyTorch.
Experience with SQL and relational databases like SQL or MySQL; knowledge of API development and microservices architecture.
Work Experience Required: At least 1 year of professional experience or education in data science, machine learning, AI, computer science, or related field.
Preferred experience with Azure cloud services, containerized deployment (e.g., AKS), and production ML operations (MLOps); also includes knowledge of generative AI concepts.
Experienced in full AI/ML lifecycle from prototyping to production support in enterprise environments using Python and Azure.
Comfortable integrating AI components with front-end, back-end, and infrastructure teams, and supporting production-grade AI systems.
Skilled in applying generative AI/LLM knowledge strategically to business problem solving and able to translate requirements into scalable AI solutions.