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AI / ML Engineer

AI / ML Engineer

Cubestech LtdPolska
Ponad 30 dni temu
Opis pracy

Role : AI / ML Engineer (Azure, Python, LLMs)

Location : Warsaw, Poland - Remote with Occasional visit in Office

Employment Type : Contract - B2B / Freelance

Experience : 6 – 8 years

Job Description

Key Responsibilities :

  • Design Development :

Create, develop, and deploy AIML-based applications using Azure services.

  • LLM Implementation :
  • Develop and optimize Large Language Model (LLM) based solutions tailored to real-world business cases.

  • API Microservices Development :
  • Build and maintain APIs and microservices to efficiently serve AIML-based solutions to customers.

  • Software Development :
  • Streamline model operationalization, model inference backend development.

  • Compliance :
  • Ensure all AI solutions adhere to security, development, and governance standards.

  • Code Quality :
  • Write and maintain unit tests, ensure robust test coverage, and enforce best coding practices (clean code, maintainability, and performance optimization).

  • Technical Documentation :
  • Create clear, concise technical documentation for developed components.

  • Agile Practices :
  • Work in Agile / Scrum teams to deliver high-quality applications on schedule.

  • Collaboration :
  • Work closely with Data Scientists and AI Engineers to integrate AIL into business solutions.

    Mandatory Skills :

  • Strong command of Python for AIML development.
  • Hands-on experience with Azure AIML services, including Azure OpenAI, Azure Machine Learning, and Cognitive Services.
  • Proven experience in developing and maintaining RESTful APIs and microservices.
  • Solid understanding of CI / CD pipelines and DevOps best practices within the Azure environment.
  • Proficient in English (spoken and written), with a minimum level of B2.
  • Secondary Skills :

  • Understanding of Generative AI, LLMs, ML, and optionally Natural Language Processing (NLP) technologies.
  • Familiarity with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying AI models.
  • Ability to thrive in an Agile environment and work effectively with multidisciplinary teams.
  • Technical Skills :

  • Technology Stack :
  • Azure OpenAI, Azure Machine Learning, Cognitive Services, Azure Data Factory, Azure Blob Storage, Azure DevOps, AKS.

  • Development Tools :
  • Azure DevOps, Databricks, Python, Docker, Kubernetes, AKS.

  • MLOps :
  • MLflow (Databricks).

    Note :

    Sponsorship not Available – Apply only if you have the right work authorization

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