SoftserveActive opening

Lead Data Scientist

Remote (Latin America)Remote (region-locked)LeadFound today
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  • 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

  • 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

  • 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

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SoftserveLead Data Scientist
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