Lead Machine Learning Engineer

Are you ready to redefine technological innovation as a Lead Machine Learning Engineer?

We are looking for a motivated professional with a strong machine learning and data engineering background who is prepared to develop and implement transformative solutions.

In this role, you will work alongside diverse teams to engineer strategic solutions beyond traditional machine-learning boundaries. You will have the opportunity to lead groundbreaking projects and accelerate your career. Our workspace encourages innovation, supports professional growth and celebrates every milestone.

If you thrive on solving complex problems and aspire to make a significant impact, we invite you to apply and join us.

Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.

Responsibilities

Lead and contribute to ML pipeline design, development, and operating lifecycle based on best practices
Develop and deploy complex AI/ML solutions on cloud infrastructure using ML engineering and MLOps workflows and tools capable of scaling in response to evolving business and technical needs
Create infrastructure and architecture diagrams
Collaborate with data scientists and engineering team to optimize ML pipeline performance
Allocate tasks to junior ML engineers and ensure task completion
Improve coding practices, support code reviews and introduce best practices for model management
Provide thought leadership in terms of new technologies and tools, suggest improvements
Support the interview process to hire junior and senior ML engineers

Requirements

Experience in AI/ML engineering and leadership
Proficiency in machine learning model development
Understanding of best practices in software engineering, data management, testing and deployment
Expertise in building scalable, reliable and maintainable ML systems
Strong communication and interpersonal skills to liaise with senior business stakeholders, clients and team members
Ability to work in a fast-paced, deadline-driven environment, mentor junior team members and provide technical leadership
Strong knowledge of Python development
Familiarity with cloud-native services: GCP, AWS, Azure
Experience with some of the MLOps-related platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLFlow, Kubeflow, Airflow, TensorFlow Extended

Nice to have

Competency in the Apache Spark Ecosystem
Expertise in LLM/GenAI

We offer

Outstanding career development roadmap to accelerate your journey
Engineering community of industry’s top professionals
Certification and mentoring programs, training, and unlimited access to LinkedIn Learning
Innovative solutions delivery to the world’s industry leaders
Regular assessments and salary reviews
Bonuses for participating in the referral program
Flexible schedule and opportunity to work remotely from any place in Latvia
Friendly team and enjoyable working environment
Relocation within offices in 50+ countries with throughout support for you and your family
Four trust days a year (sick leave without a medical certificate)
High-quality medical services in terms of corporate health insurance

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.

With offices in 55+ countries, EPAM has grown in Latvia to over 130+ talented innovators in 2 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.

Lead Machine Learning Engineer

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