Resumen: Lead Data Scientist es una vacante de Softserve en Remote. Es remota y abierta a candidatos desde Latinoamérica (Acepta LATAM). Softserve tiene 4 puestos abiertos ahora.
Data Science / AnalyticsPet FriendlyHealth CoverageComputer ProvidedInformal DresscodeVacation Over LegalBeverages And Snacks
Descripción del puesto
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
Funciones
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
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