Lead Data Scientist Generative AI / ML / Agentic AI

Lead Data Scientist Generative AI / ML / Agentic AI Experience: 68 Years Job Type: Contract C2C Work Location: Remote Budget: Up to 80,000/month Job Summary We are looking for an experienced Lead Data Scientist to lead the design, development, and deployment of advanced Artificial Intelligence, Machine Learning, and Generative AI solutions. The ideal candidate will have strong hands-on experience in Machine Learning, Deep Learning, NLP, Generative AI, Large Language Models (LLMs), RAG, and Agentic AI. The candidate should be capable of designing scalable enterprise AI solutions, leading technical initiatives, and mentoring junior data scientists. Key Responsibilities Lead the design, development, and deployment of Machine Learning and Generative AI solutions. Develop advanced AI systems using LLMs and Agentic AI architectures. Design and implement Retrieval-Augmented Generation (RAG) solutions for enterprise applications. Develop NLP solutions for: Text processing Entity extraction Classification Summarization Information retrieval Semantic search Dialogue management Develop, train, evaluate, and deploy Machine Learning and Deep Learning models. Perform feature engineering, data preparation, model optimization, and performance tuning. Design ensemble learning strategies to improve model accuracy. Implement Explainable AI and model transparency frameworks. Perform model validation, benchmarking, bias testing, and performance evaluation. Translate business requirements into scalable AI/ML solutions. Evaluate emerging AI technologies and recommend suitable solutions. Collaborate with engineering, product, QA, and business teams. Mentor junior data scientists and promote AI/ML best practices. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field. 68 years of experience in Data Science, Machine Learning, and AI solution development. Strong programming experience in: Python R SQL Strong hands-on experience with: TensorFlow PyTorch Scikit-learn Experience developing and deploying Machine Learning and Deep Learning models in production environments. Generative AI & LLM Skills Strong hands-on experience in: Generative AI Large Language Models (LLMs) RAG Retrieval-Augmented Generation LangChain Agentic AI frameworks Transformer-based architectures Prompt Engineering LLM evaluation and optimization NLP Semantic Search Information Retrieval Text Classification Entity Extraction NLP Pipeline Development Machine Learning & Data Science Model Development Feature Engineering Predictive Modeling Ensemble Learning Model Validation Model Benchmarking Performance Optimization Statistical Analysis Data Mining Data Preparation and Cleansing Data Visualization Explainable AI Bias Testing Cloud & MLOps Preferred Experience with one or more of the following is preferred: AWS Microsoft Azure Google Cloud Platform (GCP) Vector Databases Semantic Search Technologies MLOps Model Lifecycle Management Cloud-native AI application development Enterprise GenAI deployments AI Monitoring and Governance Leadership Expectations Provide technical leadership across AI and Machine Learning initiatives. Drive adoption of AI/ML development best practices. Guide model architecture and technology decisions. Collaborate with engineering, product, and business stakeholders. Mentor junior data scientists and help build AI capabilities within the organization. Promote innovation, experimentation, and continuous learning. Ideal Candidate The ideal candidate should have a combination of strong Data Science fundamentals and practical Generative AI experience, with the ability to take AI solutions from concept and experimentation through production deployment. Candidates with hands-on experience in LLMs, RAG, LangChain, Agentic AI, NLP, cloud platforms, and enterprise AI applications will be preferred. Job Details Job Title: Lead Data Scientist Experience: 68 Years Work Location: Fully Remote Budget: Up to 80,000/month Compensation: 70,000.00 - 80,000.00 per month Work Location: Remote .