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MLOps Engineer

Remote:

Full Remote

Contract:

Full time

Work from:

Ukraine

Offer summary

Qualifications:

Proficient in Python and AI/ML tools, Experienced with cloud platforms GCP, AWS, Azure, Skilled in CI/CD/CT pipeline setup, Familiar with Kubernetes and Apache Spark, Strong requirements gathering and business communication skills.

Key responsabilities:

Communicate requirements with stakeholders
Guide engineering teams on ML systems lifecycle
Collaborate on operationalization strategies for models
Implement production pipelines for ML solutions
Support ML software infrastructure enhancements

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

10001 Employees

See more SoftServe offers

Job description

WE ARE

SoftServe 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 ARE

Proficient in Python and the traditional Python DS/ML stack
Confident in designing ML solutions with established design patterns
Experienced with AI/ML and data engineering tools in GCP, AWS, or Azure
Familiar with ML operationalization
Skilled in setting up CI/CD/CT pipelines for ML projects
Strong with tools like Kubeflow, MLflow, or similar platforms
Proficient in using containers and container orchestration platforms like Kubernetes
Well-versed in requirements gathering and estimation
Experienced with the Hadoop ecosystem and Apache Spark
Aware of workflow orchestration platforms like Airflow
Knowledgeable about message queues and streaming platforms
Capable of maintaining business communication with clients in English

AND YOU WANT TO

Communicate use cases, requirements, and expectations with stakeholders
Guide engineering and data science teams through the ML systems production lifecycle
Collaborate with Data Science teams on model operationalization strategies
Work closely with product teams to deliver and operate ML systems
Implement end-to-end production pipelines for ML solutions
Support and continuously enhance ML software infrastructure, including CI/CD, data stores, cloud services, network configuration, security, and system monitoring
Set up scalable monitoring systems for data pipelines and ML models
Operationalize AI solutions by applying best practices in machine learning, MLOps, DevOps, and software engineering
Maintain synergy among data scientists, DevOps, and ML Engineers to build infrastructure, set up processes, and productize machine learning pipelines
Work as a consultant on different projects with a flexible schedule

TOGETHER WE WILL

Participate in international events
Get certifications in cutting-edge technologies
Have the possibility to work with the latest modern tools and technologies on different projects
Access strong educational and mentorship programs
Communicate with the world-leading companies from our logos portfolio
Care 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