Senior/Lead AI DevOps/SRE

EPAM

Details
Highlights
Company

We are currently seeking an experienced Senior/Lead AI DevOps/SRE to join our team. In this pivotal role, you will collaborate closely with data scientists and software developers to ensure seamless integration and optimize the operational efficiency of our AI deployments. Your expertise will be pivotal in deploying, maintaining, and scaling our cutting-edge AI solutions, encompassing LLMs and RAG systems.

As a key team member, you will spearhead both traditional DevOps responsibilities and innovative approaches to MLOps. Your proactive involvement will be essential in driving the success of our AI initiatives and maximizing their impact across the organization.

What You'll Do

Implement and maintain CI/CD pipelines for AI and machine learning projects, ensuring robust deployment strategies and continuous integration
Monitor and ensure the reliability, availability, and performance of AI applications, particularly those involving LLMs and RAG
Collaborate with AI research teams to operationalize machine learning models and systems efficiently
Develop and enforce best practices for version control, configuration management, and testing of AI-driven software solutions
Utilize MLOps tools such as Kubeflow, MLflow, or TensorFlow Extended (TFX) to streamline the machine learning lifecycle from experimentation to production
Implement monitoring solutions that track both system metrics and model performance to facilitate proactive issue resolution
Participate in on-call rotations to support the operational health of critical systems, employing SRE principles to meet service-level objectives (SLOs) and reduce downtime

What You Have

Bachelors degree in Computer Science, Engineering, or a related field
Proven experience as a DevOps Engineer or SRE, with a strong background in software development and automation
Expertise in deployment and management of LLMs, including technologies like RAG
Proficient in CI/CD tools (Jenkins, GitLab CI, CircleCI) and infrastructure as code (Terraform, Ansible)
Solid knowledge of container orchestration technologies (Kubernetes, Docker)
Familiarity with MLOps tools and practices to support machine learning lifecycle management

Nice to Have

Experience with cloud services (AWS, GCP, Azure), particularly in AI/ML deployments
Background in monitoring tools like Prometheus, Grafana, and ELK stack
Understanding of Python, particularly in data science and machine learning contexts
Certification in Kubernetes, AWS/GCP/Azure, or similar technologies

We Offer

Salary range 3800-6500 EUR gross, based on your experience and interview results
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 worlds industry leaders
Regular assessments and salary reviews
Bonuses for participating in the referral program
Participation in the Employee Stock Purchase Plan
Flexible schedule and opportunity to work remotely from any place in Lithuania
Friendly team and enjoyable working environment
Relocation within offices in 50+ countries with throughout support for you and your family
Three additional vacation days and four trust days a year (sick leave without a medical certificate)
Private health insurance and corporate discounts for family members

Monthly gross salaryGross/mo € 3800 - 6500

Location

Lithuania

Remote work opportunity

Time of work

Full-time
Flexible schedule

Skills

DevOps CI/CD Infrastructure as Code MLOps tools Containerization

Languages

English

Contact person
Violetta Avseenko

EPAM leads the industry in digital platform engineering and product development services. With 55,600+ professionals in over 50 countries, EPAM landed in Lithuania about two years ago, and today we are a team of 1,400+ innovators both in Vilnius and Kaunas, creating complex solutions that impact businesses and communities worldwide. Are you up to real engineering challenges? Learn more about our open opportunities.

Company website: https://www.epam.com