Lead ML Engineer

SoftServe; Colombia; Presencial; COP 180.000.000 - 280.000.000; Jornada completa

Descripción de la vacante

SoftServe is seeking a senior ML Engineering Lead to set technical direction for ML systems and oversee production-grade AI solutions in its AI and Data Science Center of Excellence. You will bridge research and real-world impact, leading cross-functional teams and shaping ML strategy for world-leading clients.

You will drive LLMOps pipelines, multi-agent architectures, and MLOps practices across AWS/Azure/GCP, ensuring observability, scalability, and security while mentoring engineers to raise

Formación

• Strong Python proficiency across ML ecosystem; production-grade ML systems
• Deep expertise in LLMOps, AgentOps and experiment tracking tools
• Experience deploying cloud-based AI/ML solutions on AWS/Azure/GCP; CI/CD/CT
• Knowledge of agentic AI frameworks (LangGraph or CrewAI) and multi-agent design
• Experience leading or mentoring ML Engineering teams and driving best practices
• Strong stakeholder management; ability to communicate technical decisions to clients/executives
• Master's degree awarded in Computer Science or related field
• Proficiency in English (spoken and written)

Responsabilidades

• Define and drive standards and architecture for end-to-end ML systems
• Oversee design and delivery of production-ready LLMOps pipelines
• Lead collaboration with Data Scientists, Engineers, and clients
• Advance agentic AI capabilities with multi-agent systems
• Improve ML engineering processes, CI/CD/CT, and cloud infrastructure
• Mentor ML Engineers and promote engineering excellence
• Contribute to technical strategy and client engagements within the CoE

Conocimientos

Python proficiency

LLMOps

AgentOps

NLP systems

Cloud platforms

CI/CD/CT

Multi-agent systems

Stakeholder management

Educación

Master's degree in Computer Science or related field

Herramientas

MLflow

LangSmith

Langfuse

Weights & Biases

LangGraph

CrewAI

AWS

Azure

GCP

Descripción del empleo

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
• Higher 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.