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Senior MLOps Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Colombia

Offer summary

Qualifications:

Proficient in Python and DS/ML stack, Experience with GCP, AWS or Azure tools, Skilled in CI/CD/CT pipelines for ML, Familiarity with Kubeflow, MLflow, Kubernetes, Knowledgeable in Hadoop, Spark, Airflow.

Key responsabilities:

Communicate use cases and requirements
Guide teams on ML system lifecycle
Collaborate on operationalization strategies
Support and enhance ML software infrastructure
Operationalize AI solutions and maintain synergy

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 traditional Python DS/ML stack
Confident with ML solutions design patterns
Experienced in AI/ML and data engineering tools in GCP, AWS or Azure
Familiar with ML operationalization
Skilled with setting up CI/CD/CT pipelines for ML
Strong with Kubeflow, MLflow, or similar
Proficient with containers and container orchestration platforms such as Kubernetes
Well-versed in requirements gathering and estimation
Showing practice with Hadoop ecosystem and Apache Spark
Aware of Workflow orchestration platforms (Airflow)
Knowledgeable of message queues and streaming platforms
Capable of maintaining business communication with a client in English

AND YOU WANT TO

Communicate use cases, requirements, and expectations with stakeholders
Guide engineering and data science teams on 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: CI/CD, data stores, cloud services, network configuration, security, and system monitoring
Set up scalable monitoring systems for data pipelines and ML models
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, productize machine learning pipelines, and integrate them into existing business environments

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
Work as a consultant on different projects with a flexible schedule
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