MLOps Engineer

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