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about 1 month ago
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Requirements and responsibilities
SoftServe is hiring a Lead ML Engineer to set technical direction for ML engineering and oversee delivery of production-grade AI systems, from LLMOps infrastructure and agentic pipelines to scalable multimodal solutions, within our AI and Data Science CoE!You’ll bridge applied research and real-world impact, leading cross-functional teams and shaping ML strategy for world-leading clients.Strong Python proficiency across the core ML ecosystem, with a proven track record of building and deploying complex ML systems in production.Deep expertise in LLMOps, AgentOps, and experiment tracking tools such as MLflow, Langfuse, LangSmith, and Weights & Biases.Proven experience architecting and deploying cloud-based AI/ML solutions on AWS, Azure, or GCP, with strong knowledge of CI/CD/CT practices and workflow orchestration tools.Advanced knowledge of agentic AI frameworks such as LangGraph or CrewAI, with experience designing multi-agent systems for production environments.Upper-intermediate or higher proficiency in English, both spoken and written🗣️ English level: advanced conversational (B2+ – C1) and it will be assessed.
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