MLOps Engineer (Azure and Neo4j)

WE ARE

Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design.

We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field.

In a Data Science Center of Excellence, you will have a chance to contribute to a wide range of projects in different areas and technologies.

We are looking for a person who is inspired by data, analytics, and AI as much as we are, and who wants to grow with us!

IF YOU ARE

• A holder of a master's degree in Computer Science, or a related field
• Having 3+ years of relevant experience
• Hands-on with Python and traditional Python data science and machine learning (DS/ML) stack
• An expert in GenAI solutions design patterns, requirements gathering and estimation
• Skilled with AI/ML and LLM tools in any major cloud platform
• Familiar with setting up continuous integration, continuous delivery, and continuous testing (CI/CD/CT) pipelines for ML
• Competent with containers and container orchestration platforms (Kubernetes)
• Experienced with designing and building feature stores and VectorDB
• Familiar with LLM Agent orchestration like crew.ai
• Knowledgeable of the Neo4j (as an advantage)
• Demonstrating Upper-Intermediate English level, or higher to cover daily project needs

AND YOU WANT TO

• Design and implement ML end-to-end solutions, create data pipelines and architectures, set up the infrastructure, and optimize existing models
• Communicate use cases, requirements, and expectations with stakeholders
• Guide Engineering and Data Science teams on ML systems production lifecycle
• Cooperate with Data Science teams on model operationalization strategies
• Deliver and operate ML systems cooperating with the product teams
• Implement end-to-end production pipelines for ML solutions
• Support and enhance ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, and system monitoring
• Set up scalable monitoring systems for data pipelines and ML models
• Work as a consultant with the latest modern tools on different projects with a flexible schedule

TOGETHER WE WILL

• Operationalize our clients’ AI solutions by leveraging best practices in Machine Learning and MLOps, DevOps, and Software engineering
• Maintain synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, and Machine Learning pipelines, and integrate them into existing business environments
• Participate in international events
• Get certifications in cutting-edge technologies
• Access strong educational and mentorship programs
• Communicate with the world-leading companies from our logos portfolio