Lead Data Scientist

About the role

Responsibilities • Define and drive technical vision for AI initiatives using the latest generative AI and agentic frameworks, ensuring alignment with business goals and accelerating innovation across cross-functional teams • Advance agentic AI capabilities by designing and implementing multi-agent systems using LangGraph, CrewAI, or similar frameworks to enable autonomy and real-world problem-solving at scale • Foster strong client relationships by identifying opportunities, shaping AI strategies, and translating complex technical concepts into impactful, production-ready solutions • Build and deploy production-ready AI/ML solutions on major cloud platforms, reducing operational risks and ensuring reliability through close collaboration with MLOps and DevOps teams • Establish and optimize end-to-end AI development processes, from data pipelines and model training to LLMOps, monitoring, and continuous improvement • Mentor and guide Data Scientists and ML Engineers, embedding best practices in Generative AI, MLOps, and engineering excellence • Contribute to thought leadership through technical publications, case studies, and participation in industry events and conferences Requirements • Master’s or Ph.D. degree in Computer Science or a related field • Advanced Python proficiency with hands-on experience in PyTorch or TensorFlow for model development, training, and large-scale experimentation • Strong knowledge of Generative AI and NLP, including transformer models, LLMs (GPT-4, Claude, Gemini), and fine-tuning methodologies for domain-specific applications • Experience with agentic AI frameworks such as LangGraph or CrewAI, as well as knowledge of multi-agent system design and autonomous decision-making patterns • Proven track record of deploying AI/ML solutions to major cloud providers and managing the full ML lifecycle at production scale • Demonstrated experience leading or mentoring Data Science or ML teams, with the skills to drive technical vision and embed engineering best practices • Strong client-facing skills, with experience shaping AI strategies and communicating complex concepts to executive and non-technical stakeholders • Upper-intermediate or higher proficiency in English, both spoken and written Some of our benefits • SoftServe University: Access continuous learning opportunities, certification support, and leadership development programs to grow your skills and advance your career • Medical insurance: Health coverage for you and your family • Food vouchers: Additional support for your everyday expenses • Extra days off: Enjoy additional time off to rest, recharge, and maintain a healthy work-life balance • Dare to Care: Our holistic well-being program, designed to support your overall wellness • Anniversary Program: Celebrating your milestones and recognizing your journey with SoftServe

Posted Nov 6, 2026