Lead ML Engineer

SoftServe; Polska; On-site; PLN 583,000 - 738,000; Full time

Job summary

SoftServe is seeking a senior ML engineer to set the technical direction for ML engineering and oversee production-grade AI systems. You will lead cross-functional teams, shape ML strategy, and drive LLMOps pipelines and multimodal solutions for world-leading clients.

You will mentor ML engineers, advance agentic AI capabilities, and ensure scalable, secure cloud infrastructure across AWS, Azure, or GCP. Strong Python and English skills are essential.

Qualifications

• Advanced degree in computer science or related field.
• Proven track record building production ML systems.
• Experience with LLMOps and experiment tracking tools.

Responsibilities

• Define technical standards and architecture for end-to-end ML systems.
• Oversee production-grade ML pipelines and observability.
• Lead cross-functional teams with data scientists and engineers.
• Architect multi-agent systems for production use cases.
• Improve CI/CD/CT, cloud infra, and security practices.
• Mentor ML engineers and promote engineering excellence.
• Contribute to strategic ML initiatives and client engagements.

Skills

Python proficiency

LLMOps

AgentOps

Cloud platforms

Mentoring

Stakeholder management

English communication

Education

Master’s degree in CS or related

Tools

MLflow

LangSmith

Langfuse

Weights & Biases

LangGraph

CrewAI

Job description

About The Role In this role, you will set the technical direction for ML engineering and oversee the delivery of production-grade AI systems, from LLMOps infrastructure and agentic pipelines to scalable multimodal solutions, within SoftServe’s AI and Data Science Center of Excellence. You’ll bridge applied research and real-world impact, leading cross-functional teams and shaping ML strategy for world-leading clients

About The Role In this role, you will set the technical direction for ML engineering and oversee the delivery of production-grade AI systems, from LLMOps infrastructure and agentic pipelines to scalable multimodal solutions, within SoftServe’s AI and Data Science Center of Excellence. You’ll bridge applied research and real-world impact, leading cross-functional teams and shaping ML strategy for world-leading clients Responsibilities

• Define and drive technical standards and architecture for end-to-end ML systems, ensuring scalability, reliability, and alignment with business objectives
• Oversee the design and delivery of production-ready LLMOps pipelines using MLflow, LangSmith, Langfuse, or Weights & Biases, establishing observability, reproducibility, and quality standards across teams
• Lead collaboration with Data Scientists, Engineers, and clients, translating complex business requirements into robust ML solutions for NLP, RAG systems, and multimodal models
• Advance agentic AI capabilities by architecting and overseeing multi-agent systems using LangGraph or CrewAI, driving autonomy and real-world problem-solving at production scale
• Establish and continuously improve ML engineering processes, from CI/CD/CT pipeline governance and cloud infrastructure on AWS, Azure, or GCP to monitoring and security best practices
• Mentor and guide ML Engineers, embedding engineering excellence, MLOps best practices, and a culture of continuous learning across the team
• Contribute to technical strategy and thought leadership, supporting client engagements and innovation initiatives within the CoE

Requirements

• 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
• Demonstrated experience leading or mentoring ML Engineering teams, driving technical vision and establishing engineering best practices
• Strong stakeholder management skills, with the ability to shape ML strategy and communicate complex technical decisions to clients and executive audiences
• Master’s degree in Computer Science or a related field
• Strong proficiency in English, both spoken and written

SoftServe is an equal opportunity employer. Qualified applicants will 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.