Senior MLOps Engineer

About the Job:
SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates work on over 2,000 projects with clients in the USA, Europe, and the APAC region. We are a leading team in Eastern Europe in the field of Data Science, providing a wealth of experience while working with top talents in the industry.

As a Senior MLOps Engineer, you will play a crucial role in guiding engineering and data science teams through the ML systems production lifecycle. You will collaborate with product teams to deliver and operate ML systems, implement end-to-end production pipelines, and continuously enhance ML software infrastructure. Your expertise will contribute to the operationalization of AI solutions by applying best practices in machine learning, MLOps, DevOps, and software engineering.

Work Conditions: Full-time
Location: United Arab Emirates (Remote)

Key Responsibilities:

• Communicate use cases, requirements, and expectations with stakeholders.
• Collaborate with Data Science teams on model operationalization strategies.
• Implement CI/CD processes for ML solutions and set up scalable monitoring systems.
• Maintain synergy among data scientists, DevOps, and ML Engineers.

Qualifications:

• Master's degree in Computer Science or a related field.
• 3+ years of relevant experience.
• Proficiency in Python and machine learning stack.
• Familiarity with ML solutions design patterns and operationalization.
• Experience with AI/ML and data engineering tools in a major cloud platform.
• Understanding of CI/CD pipelines for ML and workflow orchestration platforms such as Airflow.
• Knowledge of the Hadoop ecosystem and Apache Spark.

Language Requirements:

• Upper-Intermediate English level or higher.

Benefits:

• Medical insurance package.
• Participation in international events and access to strong educational and mentorship programs.
• Flexible schedule with opportunities to work on diverse projects and technologies.