Lead ML Engineer

SoftServe Inc.; Colombia; Hybrid; COP 120,000,000 - 240,000,000; Full time

Benefits offered by this job

Flexible work model

Health coverage

Paid time off

Wellness support

Learning opportunities

Job summary

SoftServe in Colombia seeks a seasoned ML Engineer to set technical direction for ML engineering and lead production-grade AI systems within our AI and Data Science Center of Excellence. You will shape ML strategy and bridge research with real-world impact.

You’ll mentor teams, collaborate with data scientists and engineers, and drive end-to-end LLMOps pipelines, multimodal solutions, and agentic AI initiatives for world-leading clients.

Qualifications

• Strong Python proficiency across core ML ecosystem; production experience.
• Deep expertise in LLMOps, AgentOps, and experiment tracking tools such as MLflow, Langfuse, LangSmith, and Weights & Biases.
• Experience architecting and deploying cloud-based AI/ML solutions on AWS, Azure, or GCP; knowledge of CI/CD/CT practices.
• Advanced knowledge of agentic AI frameworks such as LangGraph or CrewAI; design multi-agent systems for production.
• Experience leading or mentoring ML Engineering teams; establishing engineering best practices.
• Strong stakeholder management; ability to shape ML strategy and communicate decisions to clients/executives.
• Master’s degree in Computer Science or related field.
• High proficiency in English (spoken and written).

Responsibilities

• Define and drive technical standards and architecture for end-to-end ML systems.
• Oversee the design and delivery of production-ready LLMOps pipelines.
• Lead collaboration with Data Scientists, Engineers, and clients; translate requirements into ML solutions.
• Advance agentic AI capabilities with multi-agent systems in production.
• Establish and improve ML engineering processes; CI/CD/CT and cloud infra governance.
• Mentor ML Engineers; promote MLOps best practices and learning culture.
• Contribute to technical strategy and thought leadership within the CoE.

Skills

Python

LLMOps

AgentOps

English proficiency

Stakeholder management

Education

Master's degree in Computer Science

Tools

MLflow

LangSmith

Langfuse

Weights & Biases

LangGraph

CrewAI

AWS

Azure

GCP

CI/CD/CT

Job description

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.

About us

We are a digital engineering and technology consulting company where expertise grows alongsidepeople. For more than 30years, we have been elevating technology: helping organizations navigate complex businesschallenges by combining deepengineering knowledge with thoughtful, research-backed innovation. Our teams work across keyareas: digitalengineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalablesolutions rooted in realbusiness needs and measurable human impact.

You bring your perspective and ambition. We create an environment where your work meetsclarity, confidence, andpurpose.

Flexible Work Model

Work from home, from the office, or in a hybrid format that supports focus andcollaboration.

Competitive, market-based pay, benchmarked by role andlocation — plus health coverage, paid time off, wellness support, and learningopportunities.

Approachable leaders who communicate openly, keep teams close to the strategy, andsupport long-term planning.

Advanced tech communities

Stay close to AI/ML, Cloud, Quantum Computing, IoT, andRobotics communities, with projects built on modern frameworks.

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