Data Scientist – Agentic AI Engineer

Required skills

master’s or Ph.D. in Computer Science, Data Science, or a related field, at least three years hands-on experience developing AI/ML systems, proficiency in Python and relevant libraries for data science and deep learning, strong understanding of classic NLP and LLM-based approaches, hands-on experience building and then iteratively refining model pipelines end-to-end, familiarity with cloud computing platforms, experience with at least one GenAI platform (OpenAI, Claude, Mistral etc.), excellent communication skills and a collaborative mindset, strong analytical and problem-solving skills, with attention to detail

Preferred skills

Technologies

Python, NumPy, Pandas, TensorFlow, PyTorch, cloud computing platforms, GenAI platforms (OpenAI, Claude, Mistral etc.), LLM-based architecture (RAG, prompt engineering, data synthesis, automatic evaluation, fine-tuning and agent frameworks)

Responsibilities

Design, develop, and deploy agentic AI systems and autonomous AI workflows using large language models and advanced reasoning architectures, design, train, and evaluate NLP and LLM-based solutions for various use cases, clean, preprocess, and curate data for evaluation, fine-tuning, and training, work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights, keep up the latest advancements in generative AI research and integrate new techniques into the development process

Seniority

Domain

healthcare