Lead ML Engineer

SoftServe is hiring for their AI and Data Science Center of Excellence, focusing on building production-grade AI systems and ML engineering solutions for world-leading clients. The role involves working within international projects and small teams at a company offering a flat structure.

• Strong proficiency in Python and core ML ecosystem
• Proven track record building and deploying complex ML systems in production
• Deep expertise in LLMOps, AgentOps, and experiment tracking tools like MLflow, Langfuse, LangSmith, and Weights & Biases
• Experience architecting and deploying cloud-based AI/ML solutions on AWS, Azure, or GCP with knowledge of CI/CD/CT practices and workflow orchestration
• Advanced knowledge of agentic AI frameworks such as LangGraph or CrewAI and experience designing multi-agent production systems
• Leadership or mentoring experience in ML Engineering teams
• Strong stakeholder management skills for shaping ML strategy and communicating technical decisions
• Master’s degree in Computer Science or related field
• Proficiency in English (spoken and written)

• Define and drive technical standards and architecture for end-to-end ML systems, ensuring scalability, reliability, and business alignment
• Oversee the design and delivery of production-ready LLMOps pipelines using MLflow, LangSmith, Langfuse, or Weights & Biases
• Lead collaboration with Data Scientists, Engineers, and clients to translate complex business requirements into robust ML solutions for NLP, RAG systems, and multimodal models
• Advance agentic AI capabilities by architecting and managing multi-agent systems using LangGraph or CrewAI
• Establish and improve ML engineering processes including CI/CD/CT pipeline governance and cloud infrastructure management on AWS, Azure, or GCP
• Mentor and guide ML Engineers promoting engineering excellence and MLOps best practices
• Contribute to technical strategy and thought leadership supporting client engagements and innovation

SoftServe is an equal opportunity employer. Qualified applicants receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.