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Senior MLOps Engineer

SoftServe · Abou Dabi

Senior 🇬🇧 English
Python Kubeflow MLflow Kubernetes Azure Databricks Apache Spark Airflow CI/CD

Job description

About the role

SoftServe's AI and Data Science Center of Excellence, based in Europe, is looking for a Senior MLOps Engineer. The role works with Data Science teams on model operationalization, builds end-to-end production pipelines for ML solutions and supports the ML software infrastructure. It is also open to consulting on different projects with a flexible schedule.

Key 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 and with product teams to deliver and operate ML systems.
  • Implement end-to-end production pipelines for ML solutions.
  • Support and continuously improve 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 using best practices in machine learning, MLOps, DevOps and software engineering.
  • Maintain synergy between data scientists, DevOps and ML engineers to build infrastructure, set up processes and productize ML pipelines.
  • Work as a consultant on different projects with a flexible schedule.

Required profile

  • Master's degree in computer science or a related field.
  • 6+ years of relevant experience.
  • Expertise in ML solutions, design patterns and operationalization.
  • Strong requirements gathering and estimation skills.
  • Upper-intermediate English to cover daily project needs.

Required skills

  • Hands-on Python and the traditional Python DS/ML stack.
  • CI/CD/CT pipelines for ML.
  • Kubeflow, MLflow or similar; Kubernetes; Databricks.
  • Azure cloud services (AI Studio, AI Search, Data Factory, Functions, Cosmos DB).
  • Feature stores, Hadoop ecosystem and Apache Spark.
  • Workflow orchestration such as Airflow (a plus).
  • Healthcare data experience is a plus.

What we offer

  • Part of a team shaping the future of AI and data science.
  • Advancing Agentic AI and access to world-class training, research and certifications.
  • International events, mentorship programs and collaboration with leading partners.

Questions fréquentes

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Published 1 week ago

Expires 1 month from now

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SoftServe

Abou Dabi