Overview
Full Time
Skills
Pivotal
Training
Large Language Models (LLMs)
Innovation
Collaboration
Artificial Intelligence
Workflow
Software Development
Resource Management
Amazon SageMaker
DevOps
Cloud Computing
Machine Learning (ML)
Docker
Continuous Integration
Continuous Delivery
Machine Learning Operations (ML Ops)
Orchestration
Apache Kafka
Management
Vector Databases
Leadership Development
Soft Skills
Google Cloud
Google Cloud Platform
Microsoft Azure
Amazon Web Services
LinkedIn
English
Job Details
Elevate your career with EPAM Georgia as a Solution Architect! This position presents an opportunity to work with a team of dedicated professionals on a groundbreaking project for a globally leading job platform.
As part of our team, you will be pivotal in designing and implementing new solutions, such as data enrichment pipelines and tools for training and deploying large language models. If you're passionate about driving AI innovation and building scalable solutions, we invite you to apply and join us.
Immerse yourself in our collaborative culture by working on-site at our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
RESPONSIBILITIES
REQUIREMENTS
NICE TO HAVE
WE OFFER
As part of our team, you will be pivotal in designing and implementing new solutions, such as data enrichment pipelines and tools for training and deploying large language models. If you're passionate about driving AI innovation and building scalable solutions, we invite you to apply and join us.
Immerse yourself in our collaborative culture by working on-site at our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
RESPONSIBILITIES
- Design and deploy ML-based services using AWS SageMaker
- Analyze the current AWS account setup and improve it with MLE and DevOps experts
- Assess current AI pipelines and their integration with other services
- Design and build infrastructure to support the experimentation and deployment of AI systems
- Collaborate with AI Labs teams to enhance current ML workflows and software development standards
- Apply IaC and CI/CD best practices for efficient deployment and resource management
REQUIREMENTS
- Industry production experience in AWS ML services, including AWS SageMaker
- Expertise in building enterprise-scale ML and LLM solutions
- Production background in DevOps, Cloud Operations and ML engineering
- Understanding of AWS administration and permission management
- High proficiency in Docker, IaC and CI/CD
- Flexibility to use model management tools such as MLflow
- Familiarity with MLOps, including model orchestration and updates
- B2+ English, both verbal and written
NICE TO HAVE
- Knowledge of Kafka
- Ability to set up and manage Vector Databases
WE OFFER
- We connect like-minded people
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- We invest in your growth
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including Google Cloud Platform, Azure and AWS
- Unlimited access to LinkedIn Learning and Get Abstract
- Free English classes with certified teachers
- We cover it all
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Five trust days per year (sick leave without a medical certificate)
- Benefits package (sports activities, a variety of stores and services)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.