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Senior MLOps Engineer (Azure, LLMs)

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Poland

Offer summary

Qualifications:

Master's degree in Computer Science or related field, 3+ years of relevant experience, Confident in Azure cloud provider, Hands-on with Python and ML stack, Experience with AI/ML tools in cloud platforms.

Key responsabilities:

Design and implement ML solutions
Set up infrastructure and optimize models
Guide teams on ML lifecycle management
Support CI/CD pipelines for ML solutions
Work flexibly as a consultant using modern tools

SoftServe XLarge https://www.softserveinc.com/

10001 Employees

See more SoftServe offers

Job description

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
Confident in cloud providers, especially in Azure
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
Versed in 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 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

SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe