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Data Solution Architect / AI Architect

Remote:

Full Remote

Work from:

Republic of Lithuania

Offer summary

Qualifications:

Experience as a Data Architect., Knowledge in AWS ML services., Skills in AWS administration and DevOps., Familiar with Docker, Terraform, and CI/CD..

Key responsabilities:

Create data utilization architecture.
Develop machine learning strategies.
Collaborate with various technical teams.
Analyze AWS account configurations.

EPAM Systems XLarge http://www.epam.com

10001 Employees

See all jobs

Job description

We are seeking an innovative Data Solution Architect/AI Architect to join our expanding team.

In this role, you'll play a vital part in crafting solutions that meet diverse requirements and needs. Collaborating closely with teams of data scientists and machine learning engineers, you'll be at the centre of driving innovation.

Your expertise will be instrumental in enhancing the design of AI systems, spanning classical ML and LLMs, on the AWS platform. You'll contribute to the development of new solutions, including data enrichment pipelines and robust building blocks for training, evaluating, and deploying large language models. Join us on this exciting journey!

Responsibilities

Create an architecture for utilizing and publishing data within the data mesh
Develop a strategy to identify the specific machine learning tools, models and training sets to construct
Collaborate with the AI labs, data, infrastructure and platform teams to implement ML-based services using AWS SageMaker
Analyze the existing AWS account configuration for data scientists and MLEs, working closely with StSt MLE and DevOps experts
Assess current AI pipelines and their integration with other services
Design and build infrastructure to facilitate the experimentation and deployment of AI systems
Cooperate with the AI Labs team to enhance current ML workflows and software development standards

Requirements

Hands-on production experience as a Data Architect with a production background in design or development
Industry knowledge in AWS ML services, including AWS SageMaker
Qualifications in DevOps, Cloud Operations and ML engineering
Skills in AWS administration and permission management
Expertise with building enterprise scale ML and LLM solutions
High proficiency with Docker, IaC (Terraform) and CI/CD (Atlassian Bamboo)
Ability to build and use model management tools such as MLflow
Understanding of MLOps
B2+ English level, both written and spoken

Nice to have

Competency in setting up and managing vector databases
Showcase of deploying LLMs at scale
Familiarity with Kafka

Technologies

AWS (Amazon Web Services)
Artificial intelligence
ML Architecture

We offer

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 Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
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 Lithuania to over 1,200+ talented innovators in just 4 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us

Salary range €5.6K-€8.7K gross, based on your experience and interview results.

Feel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices.