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Mid-level GenAI role in metro Chennai with common experience band and broad skill requirements.
Core ML and GenAI engineering skills are broadly transferable across industries, so sensitivity is low.
Explicit 4–8 years plus many mandatory ML, GenAI, AWS, and production-systems requirements.
Design, develop, and deploy scalable AI/ML solutions including classification, regression, recommendation, forecasting, clustering, anomaly detection, and optimization.
Build and maintain advanced Generative AI applications such as LLM-powered apps, RAG systems, AI copilots, and agentic workflows with prompt engineering and evaluation frameworks.
Develop production-grade AI services, REST APIs, microservices on AWS cloud using containerization technologies like Docker and orchestration services like EKS.
4-8 years of experience in AI, Machine Learning, or Data Science roles.
Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, Engineering, or related field.
Strong hands-on experience with Python programming and AWS services (EKS, SNS, SQS, Lambda, S3, API Gateway).
Experience in building ML models (classification, regression, recommendation, forecasting, clustering, anomaly detection) and developing production-grade AI/ML applications including RESTful APIs and containerization.
Experienced in both traditional ML techniques (Scikit-Learn, XGBoost, LightGBM, CatBoost) and advanced Generative AI (LLMs, RAG, prompt engineering).
Skilled in software engineering best practices including design patterns, SOLID principles, API development, and AWS cloud-native deployments.
Able to implement end-to-end AI solutions integrating feature engineering, model validation, monitoring, and scalable deployment within event-driven architectures.