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MLOps Engineer in SoftServe

16 October

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SoftServe

SoftServe

0
0 reviews
Without experience
Full-time work
WE ARESoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, and APAC region. We are about people who create bold things, who make a difference, who have fun, and who love their work.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 Cent
WE ARESoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, and APAC region. We are about people who create bold things, who make a difference, who have fun, and who love their work.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, we contribute to a wide range of projects in different areas and technologies.IF YOU AREProficient in Python and the traditional Python DS/ML stackConfident in designing ML solutions with established design patternsExperienced with AI/ML and data engineering tools in GCP, AWS, or AzureFamiliar with ML operationalizationSkilled in setting up CI/CD/CT pipelines for ML projectsStrong with tools like Kubeflow, MLflow, or similar platformsProficient in using containers and container orchestration platforms like KubernetesWell-versed in requirements gathering and estimationExperienced with the Hadoop ecosystem and Apache SparkAware of workflow orchestration platforms like AirflowKnowledgeable about message queues and streaming platformsCapable of maintaining business communication with clients in EnglishAND YOU WANT TOCommunicate use cases, requirements, and expectations with stakeholdersGuide engineering and data science teams through the ML systems production lifecycleCollaborate with Data Science teams on model operationalization strategiesWork closely with product teams to deliver and operate ML systemsImplement end-to-end production pipelines for ML solutionsSupport and continuously enhance ML software infrastructure, including CI/CD, data stores, cloud services, network configuration, security, and system monitoringSet up scalable monitoring systems for data pipelines and ML modelsOperationalize AI solutions by applying best practices in machine learning, MLOps, DevOps, and software engineeringMaintain synergy among data scientists, DevOps, and ML Engineers to build infrastructure, set up processes, and productize machine learning pipelinesWork as a consultant on different projects with a flexible scheduleTOGETHER WE WILLParticipate in international eventsGet certifications in cutting-edge technologiesHave the possibility to work with the latest modern tools and technologies on different projectsAccess strong educational and mentorship programsCommunicate with the world-leading companies from our logos portfolioCare for your and your family’s wellness with a health insurance package 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 Show more Show lessPosition level Assistant Type of employment Full time Job duties Research, Science and Information Technologies Industries IT services and IT Consulting
Without experience
Full-time work
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