Data Scientist Agentic AI & Generative AI

Remote Full-time
HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Data Scientist in Remote. Below is the detailed job description. Job Title: Data Scientist Agentic AI & Generative AI (Remote with Occasional Travel) Location: Remote (occasional travel as needed) Employment Type: Full-Time/ Contract About the Role We are seeking a Data Scientist with strong expertise in Agentic AI and Generative AI to design, develop, and deploy next-generation AI solutions. The ideal candidate will combine deep technical skills with creative problem-solving to build intelligent, autonomous, and generative systems that drive innovation and efficiency across business processes. Key Responsibilities • Design, develop, and optimize AI/ML models leveraging LLMs, multi-agent systems, and generative architectures (e.g., GPT, diffusion models). • Implement Agentic AI frameworks for automation, decision-making, and adaptive reasoning. • Apply Generative AI techniques for text, image, or multimodal data generation. • Collaborate with data engineers, ML engineers, and product teams to integrate AI solutions into production environments. • Analyze large, complex datasets to extract actionable insights and enhance model performance. • Stay up to date with the latest research and advancements in autonomous agents, LLMs, and foundation models. Required Qualifications • Master's or Ph.D. in Computer Science, Data Science, AI/ML, or related field. • Proven experience with Generative AI models (e.g., GPT, Claude, Gemini, Stable Diffusion, or custom transformer architectures). • Experience with Agentic AI frameworks or multi-agent systems. • Strong proficiency in Python, TensorFlow, PyTorch, and LangChain (or similar frameworks). • Excellent understanding of prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation) techniques. Apply tot his job
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