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Tier-1 brand, Bangalore metro location, and broad ML/LLM skill requirements increase candidate competition.
Advanced ML/LLM and production MLOps requirements make the role highly domain-specific.
Explicit 8+ years plus extensive mandatory ML, MLOps, cloud, and LLM skills tighten screening.
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Design, develop, deploy, and maintain AI/ML-powered applications and intelligent systems across the complete machine learning lifecycle.
Build and productionize machine learning models, Generative AI applications, and scalable APIs integrating AI capabilities into enterprise applications.
Optimize model performance and scalability in production; build and maintain MLOps pipelines including automated training, deployment, versioning, and monitoring.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related field required.
8+ years of software engineering experience with significant hands-on AI/ML development.
Strong programming skills in Python; experience with ML frameworks like PyTorch, TensorFlow, or Scikit-learn.
Experience with cloud platforms (Azure, AWS, or Google Cloud), containerization (Docker, Kubernetes), and building REST APIs/microservices.
Proven ability to take ownership of production-ready AI/ML solutions and lead technical initiatives including mentoring junior engineers.
Experience working with Generative AI technologies such as Large Language Models, Retrieval-Augmented Generation, and relevant AI frameworks (e.g., LangChain, Hugging Face).
Familiarity with MLOps concepts, scalable distributed systems, CI/CD pipelines, and applied software engineering best practices in AI product environments.