Data Solution Architect / AI Architect (EPAM SISTEMOS, UAB)

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!
_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
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
Company offers:
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 340+ 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…