Senior MLOps Engineer (Azure, LLMs)

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SoftServe

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.

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.

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