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We're in search of a seasoned and visionary individual to become an integral part of our passionate team. In the role of Engineering Team Lead, you will be pivotal in coordinating our AI/ML engineering unit, driving the development of cutting-edge solutions that push the boundaries for our clients.
If you're ready to lead with innovation and drive, we'd love to have you on board!
Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.
Responsibilities
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.
If you're ready to lead with innovation and drive, we'd love to have you on board!
Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.
Responsibilities
- Strategize, plan and deliver MLOps initiatives by liaising with key business stakeholders
- Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools) that can scale in response to changing business and technical requirements
- Create infrastructure and architecture diagrams
- Allocate activities to junior ML engineers and take tasks to closure
- Improvise coding practices, support code reviews and bring in 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
- In-depth understanding of CI/CD, Core Data Ops, Docker, Jenkins, Kubernetes
- Proficiency in machine learning model development
- Knowledge of best practices in software engineering, data management, testing and deployment
- Expertise in building scalable, reliable and maintainable ML systems
- Excellent understanding of data structures, algorithms, object-oriented programming, ML engineering and tools
- Strong communication and interpersonal skills to liaise with senior business stakeholders, customers and team members
- Ability to work in a fast-paced, deadline-driven environment, mentor and guide junior team members and provide technical leadership
- 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
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.
Key Skills
Ranked by relevance
ai
cloud
mlops
docker
jenkins
kubernetes
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- Posted
- Oct 10, 2024
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Latvia
- Company
- EPAM Systems
Industries
Software Development
IT Services
IT Consulting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Lead Generative AI Data Scientist
2026-05-24
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Business Development
View Job Details
Related
Cloud & DevOps Trainee
2026-05-27
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View Job Details
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Cloud & DevOps Trainee
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