Lead Data Scientist

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

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

Some of our benefits

SoftServe University, with learning opportunities, certification support and leadership opportunities to help you grow your skills

Medical insurance for you and your family

Food vouchers

Extra days off

Dare to Care, our holistic well-being program

Anniversary Program to celebrate your time with us

SoftServe is a global digital solutions company, headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.

ABOUT THE ROLE

In this role, you will define technical direction and lead the delivery of advanced Generative AI and agentic solutions, from multi-agent systems to large-scale NLP pipelines, within SoftServe’s AI and Data Science Center of Excellence, a team of 170+ experts, including Data Scientists, ML Engineers, and Architects. You’ll drive innovation, shape AI strategy for world-leading clients, and ensure solutions scale from prototype to measurable production impact.