AI Developer (Remote, Professional Services)

Copenhagen, Capital Region
Posted 1 month ago
Software Development

About the role

Job summary

Seeking an AI Developer to lead AI initiatives from concept to production, collaborating with engineering, design, and QA teams to deliver customer-facing AI solutions.

Qualifications

  • 3+ years of experience in AI/ML model development and deployment.
  • Hands-on experience with MLOps tools such as MLflow, Kubeflow, or Weights & Biases.
  • Strong proficiency in Python and deep learning frameworks like TensorFlow and PyTorch.
  • Experience with LLM orchestration frameworks such as LangChain or LlamaIndex.
  • Proven ability to build and maintain RESTful APIs using FastAPI or Flask, and proficiency in SQL/NoSQL databases.
  • Experience in a customer-facing role, ideally in consulting or specialized engineering.
  • Familiarity with containerizing models using Docker and deploying to cloud platforms like AWS, GCP, or Azure.
  • Entrepreneurial mindset with the ability to navigate fast-paced and ambiguous environments.

Responsibilities

  • Serve as the primary technical partner for customers, translating their operational needs into AI solutions.
  • Manage projects from data cleaning and prototyping to deployment, monitoring, and debugging.
  • Optimize model performance through techniques such as model compression and quantization.
  • Develop advanced prompt engineering and LLM customization strategies to improve application performance.

Skills

  • AI/ML model development and deployment.
  • MLOps tooling and experiment tracking.
  • Python programming and deep learning frameworks.
  • API development and database management.
  • Customer engagement and requirement definition.
  • Containerization and cloud deployment.

Education

  • Relevant degree in Computer Science, Data Science, or a related field is preferred.

Tools

  • MLOps platforms (MLflow, Kubeflow).
  • Deep learning frameworks (TensorFlow, PyTorch).
  • LLM orchestration frameworks (LangChain, LlamaIndex).
  • API frameworks (FastAPI, Flask).
  • Cloud platforms (AWS, GCP, Azure).
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