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Senior ML Engineer (MLOps-focused)

Globaldev Group · UA

Actively hiring Posted about 1 month ago

Responsibilities

  • Lead and drive the deployment, lifecycle management, and monitoring of ML/DL models in all stages leading to production.
  • Design and implement systems for Dataset and Label Management, including versioning and integrating customer feedback into labeling workflows.
  • Establish and maintain a robust Model Repository/Registry that supports versioning, local inference, and model lineage.
  • Lead the implementation of advanced Experiment Tracking and Monitoring solutions for both Data Science and Generative AI, focusing on evaluation, data drift detection, and model reproducibility.
  • Own model serving and inference systems—including autoscaling, A/B testing, canary rollouts, and latency/cost optimization for production models.
  • Enable specialized infrastructure for Generative AI capabilities, including tagging tools, prompt management, and LLM testing services.
  • Drive operational excellence by improving tool deployment usability and implementing granular cost visibility across projects and environments.
  • Developing reusable components such as standardized data loaders, CI/CD pipelines, and automated workflows for tasks like model retraining.
  • Collaborate directly with Data Scientists and the rest of the Data Platform Engineering team to productionize ML/DL models developed for cloud environments.

Basic qualifications

  • B.Sc. or M.Sc. in Computer Science or Software Engineering or related field
  • Experienced with ML/DL workflows and their best practices
  • Experienced with CI/CD workflows and their best practices
  • Worked with public cloud (AWS/Azure/GCP)
  • Experienced with Python and Java
  • Experience with various data stores like Postgres, MongoDB, Redis
  • Experience with DS tools such as MLFlow, Langfuse, SageMaker, etc.
  • Experience with Spark
  • Experience with PyTorch/TensorFlow

Benefits

  • Flexible work arrangements.
  • 15 working days per year as Non-Operational Allowance for personal recreation, fully compensated.
  • Health insurance.
  • Public holidays.
  • Truly competitive salary.
  • Supportive HR and management team.

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