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Senior Machine Learning Engineer

1 month, 3 weeks ago
Serbia, Albania, Ukraine, Armenia
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Spark AWS Azure CI/CD Deep Learning GCP Generative AI Java Machine Learning MLflow MongoDB PostgreSQL Python PyTorch Redis TensorFlow
Apply Now
GlobalDev Tech

GlobalDev Tech

Custom software engineering & staff augmentation company Globaldev drives businesses to maximize their potential with our custom software development and staff augmentation services. Globaldev Group supports the most exciting technology companies, by p...

Internet Software & Services
51-250
Founded 2021
View All Jobs 14

Description

  • Lead the deployment, lifecycle management, and monitoring of ML and DL models through production.
  • Design and implement dataset and label management systems, including versioning and customer feedback integration.
  • Establish and maintain a model repository or registry with versioning, local inference, and model lineage support.
  • Implement experiment tracking and monitoring for data science and generative AI, including evaluation, data drift detection, and reproducibility.
  • Own model serving and inference systems, including autoscaling, A/B testing, canary rollouts, and latency and cost optimization.
  • Build infrastructure for generative AI workflows, including tagging tools, prompt management, and LLM testing services.
  • Improve operational efficiency by increasing tool deployment usability and adding granular cost visibility across projects and environments.
  • Develop reusable components such as standardized data loaders, CI/CD pipelines, and automated retraining workflows.
  • Collaborate with data scientists and data platform engineers to productionize ML and DL models for cloud environments.

Requirements

  • B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field.
  • Experience with ML and DL workflows and best practices.
  • Experience with CI/CD workflows and best practices.
  • Experience working with public cloud platforms such as AWS, Azure, or GCP.
  • Proficiency in Python and Java.
  • Experience with data stores such as Postgres, MongoDB, and Redis.
  • Experience with data science tools such as MLflow, Langfuse, and SageMaker.
  • Experience with Spark.
  • Experience with PyTorch and 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.

Interested in this position?

Apply directly on the company website

Apply Now

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