Back
Popular ML/AI title in Mumbai but niche LLM/VectorDB requirements reduce applicant density.
ML/AI skills broadly transferable, but LLM, vector DB and infra requirements bias toward AI-focused employers.
Explicit 1–4 years plus mandatory ML/LLM stack, deployment and team leadership expectations increase strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and develop AI/ML models using NLP, NLU, LLM, and Generative AI to solve complex business problems.
Lead and manage a team of AI/ML engineers, ensuring timely delivery of scalable and quality AI-based products.
Collaborate with cross-functional teams to identify requirements and implement machine learning algorithms and solutions.
1 to 4 years of experience in machine learning and artificial intelligence.
Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
Hands-on experience with Python, FastAPI, Object-Oriented Programming, containerization (Docker), Jenkins.
Experience in AWS AI Services and leading a team of AI/ML engineers is required.
Experienced in building and deploying scalable AI/ML products with expertise in NLP, NLU, LLM, Generative AI, and related technologies.
Proficient with AI frameworks like LangChain, multi-agent systems, vector databases, and AWS infrastructure including SageMaker and ECS.
Strong operating style geared towards managing teams and delivering AI solutions in agile development environments.