Lead Data Scientist

• 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

Responsabilidades: • 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

Beneficios: • 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