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Senior MLOps Engineer

SoftServe Dubai, United Arab Emirates Posted: 27 Feb 2025

Financial

  • Estimate: $90k - $120k*
  • Zero income tax location

Accessibility

  • Fully Remote
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the Job:
SoftServe is a global digital solutions company headquartered in Austin, Texas, founded in 1993. We have worked on over 2,000 projects across the USA, Europe, and the APAC region. Our team is composed of talented individuals who are passionate about creating bold innovations and enjoying their work.

As a Senior MLOps Engineer, you will be part of our Data Science Center of Excellence, contributing to projects across various areas and technologies. The role involves navigating the production lifecycle of machine learning systems, collaborating with data science and product teams, and implementing end-to-end production pipelines for ML solutions.

Requirements:

  • Holder of a master's degree in Computer Science or a related field.
  • 3+ years of relevant experience.
  • Proficient in Python and the traditional Python data science and machine learning stack.
  • Expert in ML solutions design patterns and operationalization.
  • Familiar with AI/ML and data engineering tools on major cloud platforms.
  • Experience in setting up CI/CD/CT pipelines for ML.
  • Knowledge of Kubeflow, MLflow, or similar tools.
  • Competence with containers and container orchestration platforms (Kubernetes).
  • Strong requirements gathering and estimation skills.
  • Experienced in designing and building feature stores.
  • Familiar with the Hadoop ecosystem and Apache Spark.
  • Knowledge of workflow orchestration platforms, such as Airflow.
  • Demonstrating an Upper-Intermediate level of English or higher to meet daily project needs.

Responsibilities:

  • 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.
  • Implement and continuously enhance ML software infrastructure.
  • Operate ML systems and support scalable monitoring systems for data pipelines and models.
  • Maintain synergy among data scientists, DevOps, and ML Engineers to build infrastructure and productize machine learning pipelines.

Benefits:

  • Health insurance package.
  • Opportunities for participating in international events and obtaining certifications in cutting-edge technologies.
  • Access to educational and mentorship programs.
  • Collaborate with world-leading companies.

SoftServe is an Equal Opportunity Employer, encouraging applications from all qualified individuals without discrimination.


Interested candidates should consider applying if they meet the above qualifications and are looking for a challenging and rewarding opportunity in the field of machine learning and operations.

Apply now

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About SoftServe

SoftServe is a premier IT consulting and digital services provider with over 30 years of experience, specializing in digital engineering, data and analytics, cloud, and AI/ML solutions for various industries.