Tech Lead in AI and Machine Learning

1 day ago


Stockholm, Stockholm, Sweden TN Sweden Full time

We're looking for a Tech Lead in AI and Machine Learning to join our team. As an AI Engineer, you'll be responsible for developing machine learning models that drive AI-powered AP automation and enhance our products.

The ideal candidate will have hands-on experience with implementing scalable AI/ML solutions in production environments. Proficiency in Python and AI/ML frameworks like PyTorch is essential. Familiarity with cloud environments like Azure, AWS, and GCP, with experience scaling AI solutions, is also required.

You'll collaborate closely with product, engineering, and data teams to integrate AI features into our products. Staying up-to-date with emerging AI technologies and contributing to experimentation and innovation is crucial. Building and maintaining effective AI/ML pipelines and deployment infrastructure is also key.

Key Responsibilities:
  • Develop and implement scalable AI/ML models that support product objectives.
  • Collaborate closely with product, engineering, and data teams to integrate AI features into our products.
  • Stay up-to-date with emerging AI technologies and contribute to experimentation and innovation.
  • Build and maintain effective AI/ML pipelines and deployment infrastructure.

Requirements:

  • Hands-on experience with implementing scalable AI/ML solutions in production environments.
  • Proficiency in Python and AI/ML frameworks like PyTorch.
  • Familiarity with cloud environments like Azure, AWS, and GCP, with experience scaling AI solutions.
  • A curious mindset with strong collaboration skills who is comfortable in environments without clear-cut processes.
  • Master's degree in engineering or similar.
  • Cloud Ops and IaC tools such as Terraform.
  • MLOps best practices and tools like Databricks.
  • Knowledge of working with visually rich documents (VRDs) and generative AI.
  • Experience working with RAG, LLM evaluation, API-driven microservices, cache management and production-level software.


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