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.
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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
- 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
- Competency in the Apache Spark Ecosystem
- Expertise in LLM/GenAI
- Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
- Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
- World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
- Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
- GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
- Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
- Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga
- Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
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 150+ talented innovators in 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.