Key ResponsibilitiesDevelop, deploy, and optimize machine learning and Generative AI solutions.Build end-to-end ML pipelines, including data processing, model training, evaluation, and deployment.Work with LLMs, RAGÂ frameworks, prompt engineering, and AI agents.Collaborate with cross-functional teams to deliver business-driven AI solutions.Monitor model performance and implement continuous improvements.Stay updated with the latest advancements in AI and machine learning technologies.Required Qualifications35 years of experience in AI, Machine Learning, or Data Science.Strong proficiency in Python, SQL, and ML libraries such as Scikit-learn, Pandas, TensorFlow, or PyTorch.Experience with Generative AI, LLMs, and prompt engineering.Knowledge of MLOps, Docker, Git, and cloud platforms (AWS, Azure, or GCP).Strong analytical, problem-solving, and communication skills.Bachelor's degree in Computer Science, Engineering, AI, or a related field.Preferred SkillsExperience with LangChain, LlamaIndex, RAG, and vector databases.Knowledge of NLP, Computer Vision, or Deep Learning.Familiarity with Kubernetes, MLflow, and CI/CD pipelines.Master's degree or relevant AI certifications are a plus.Role: Software Development - Other,Industry Type: Engineering & Construction,Department: Engineering - Software & QA,Employment Type: Full Time, PermanentRole Category: Software DevelopmentEducationUG: B.Tech / B.E. in Artificial Intelligence And Data Science, Artificial Intelligence And Machine Learning