Lead Machine Learning Engineer

SoftServe; Colombia; Presencial; COP 120.000.000 - 200.000.000; Jornada completa

Descripción de la vacante

SoftServe is seeking a senior ML engineering leader to set the technical direction for ML systems across LLMOps, multimodal pipelines, and agentic AI within its AI and Data Science CoE in Colombia. You will bridge research and production, lead cross-functional teams, define scalable architectures on AWS/Azure/GCP, and ensure observability, security, and quality across projects.

The role emphasizes mentorship and thought leadership, collaborating with clients and internal stakeholders to drive

Formación

• Advanced degree or equivalent in CS or ML.
• Proven track record delivering production ML systems.
• Experience with LLMs, NLP, and multimodal models.
• Strong CI/CD and cloud infra experience.
• Excellent communication with stakeholders.
• Mentorship and team leadership experience.

Responsabilidades

• Define and drive technical standards for end-to-end ML systems.
• Oversee production-grade LLMOps pipelines and observability.
• Lead cross-functional collaboration translating business needs into ML solutions.
• Advance agentic AI capabilities with multi-agent systems.
• Improve ML engineering processes, CI/CD/CT and cloud infrastructure.
• Mentor ML Engineers and promote best practices.
• Contribute to technical strategy and client engagements within the CoE.

Conocimientos

Python

ML engineering

LLMOps

NLP

Cloud platforms

Stakeholder communication

Team leadership

Educación

Master's degree in Computer Science or related field

Herramientas

MLflow

LangSmith

Langfuse

Weights & Biases

LangGraph

CrewAI

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.