About this role

Measure and ensure the high-quality output of AI workloads for our enterprise customers
Deploy and manage production workloads for a global customer base
Write, rewrite, and extend Python code, and deploy it to containers (e.g., Docker)
Conduct local testing using tools like Jupyter Notebook
Integrate AI cloud solutions and adapt them to our large-scale use cases
Perform prompt engineering for customer use cases
Fine-tune and deploy Large Language Models (LLMs)
Develop software that scales to meet the demands of high-load customer workloads

3-5 years of professional experience in software development
Proven ability to work backwards from customer needs to deliver AI-based features that meet those needs
Ability to organize and prioritize competing workloads
Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
Solid understanding of machine learning principles
Experience with container frameworks such as Docker or Kubernetes
Proficiency in using REST APIs.

Machine Learning Engineer

Key skills