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Senior MLOps Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Proficient in Python and ML stack, Experienced with GCP, AWS or Azure, Skilled in CI/CD/CT pipelines for ML projects, Knowledgeable about Hadoop and Apache Spark, Proficient in English for client communication.

Key responsabilities:

  • Communicate use cases and expectations to stakeholders
  • Guide teams on the ML systems lifecycle
  • Collaborate on model operationalization strategies
  • Implement production pipelines for ML solutions
  • Support and enhance ML software infrastructure
SoftServe logo
SoftServe Information Technology & Services 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 such as 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 on 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 clients’ AI solutions by leveraging best practices in machine learning, MLOps, DevOps, and software engineering
  • Maintain synergy among 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

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Communication
  • Collaboration

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