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Tier-1 brand and Bangalore metro increase applicant density, while specialized ML/LLM requirements moderate competition.
ML engineering, LLMs, embeddings, and cloud skills are broadly transferable across industries.
Requires proven production ML/LLM experience and specific tooling, making shortlisting highly selective.
Design, develop, deploy, and maintain production-grade AI/ML solutions for complex business and technical use cases, including Generative AI and LLM applications.
Build and integrate AI/ML capabilities (e.g., RAG, embeddings, vector databases, prompt engineering) into enterprise applications and workflows.
Evaluate and optimize AI/ML solutions for accuracy, scalability, performance, and reliability, including production support and troubleshooting.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related field.
Strong hands-on experience building and deploying production-level AI/ML solutions beyond prototypes or academic projects.
Proficient in Python programming; experience with Java, C#, or TypeScript is advantageous.
Experience developing and integrating REST APIs; familiarity with AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
Experienced AI/ML engineer comfortable with the full AI/ML lifecycle from concept to production and support in enterprise environments.
Demonstrated expertise in advanced AI/ML topics including Generative AI, LLMs, RAG, embeddings, and prompt engineering.
Familiar with software engineering practices, cloud platforms (Azure, AWS, GCP), containerization (Docker, Kubernetes), and CI/CD for scalable AI/ML solutions.