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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications using Python and ML frameworks.
Build and optimize Retrieval-Augmented Generation (RAG) solutions, prompt engineering frameworks, and AI agents with scalable data pipelines using SQL.
Implement MLOps best practices including model deployment, monitoring, CI/CD, and automation, collaborating with cross-functional teams to deliver AI-powered solutions.
Minimum Requirements
7 to 12 years of experience in AI/ML engineering, data science, or related domains.
Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field from a reputed university.
Strong hands-on experience with Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and MLOps including CI/CD and model monitoring.
Preferred cloud experience with Azure, AWS, or GCP.
Ideal Candidate Profile
Experienced in working with LLMs, Generative AI, NLP, vector databases, embeddings, and prompt engineering techniques.
Proficient in developing end-to-end machine learning solutions with focus on scalability, security, and cost efficiency.
Capable of collaborating across product, engineering, and data teams in a fast-paced, cutting-edge technology environment.