Senior MLOps Engineer

Save this Job Save

SoftServe

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 ML solutions design patterns and operationalization;
Skilled with AI/ML and data engineering tools in any major cloud platform;
Familiar with setting up continuous integration, continuous delivery, and continuous testing (CI/CD/CT) pipelines for ML;
Well-versed in Kubeflow, MLflow, or similar;
Competent with containers and container orchestration platforms (Kubernetes);
Strong in requirements gathering and estimation;
Experienced with designing and building feature stores;
Knowledgeable of the Hadoop ecosystem and Apache Spark;
Familiar with Workflow orchestration platforms such as Airflow;
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.

Don't forget to mention EuroTechJobs when applying.

Share this Job