Backend Machine Learning Engineer

4 days ago

Belgrade, Central Serbia beBeeEngineer Full time
Machine Learning Operations Specialist

Our organization is seeking a highly skilled Machine Learning Operations Specialist to join our engineering team. This role is ideal for someone who thrives in a fast-paced environment and is passionate about building scalable backend solutions with Python and FastAPI, working with cloud-native technologies, and contributing to machine learning infrastructure.

Key Responsibilities:

  • Develop, maintain, and scale backend services using Python.
  • Implement solutions within cloud environments, particularly AWS, utilizing tools such as Kubernetes and Helm.
  • Design and build services that send and receive data from ML models.
  • Collaborate closely with data scientists and ML engineers to ensure smooth deployment and integration of machine learning models (MLOps).
  • Apply best practices in software engineering, cloud infrastructure, and API design.
  • Ensure reliability, scalability, and performance of backend systems.
  • Adapt quickly to diverse client environments and coding standards.

Required Skills and Qualifications:

  • 4+ years of experience in Python backend development, preferably with FastAPI.
  • Solid understanding and practical experience with MLOps concepts and pipelines.
  • Hands-on experience with AWS services.
  • Proficiency in Kubernetes, Helm, and containerized deployments.
  • Ability to work independently, take initiative, and maintain high attention to detail.
  • Strong communication skills and ability to collaborate effectively with remote teams and clients.

Benefits:

  • Long-term contract.
  • Choose your contract type.
  • 10 Days PTO after 4 months of working with our organization.
  • Referral Bonuses.
  • Working on international projects.
  • Virtual Knowledge Sharing Sessions, Events, and team hangouts.

Our Organization Values:

We value excellence, integrity, proactivity, innovation, and people. Our future colleagues will make these values their second nature in their everyday work and life. We appreciate individuals motivated to better themselves in every aspect.

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