Staff Machine Learning Platform Engineer

For this job we are currently only hiring candidates based in the United States.

About the team & opportunity

Ontra is seeking a Staff Machine Learning Platform Engineer reporting to our Manager, Machine Learning Platform.

The role is a great opportunity for someone who wants to build, design and implement cutting-edge machine learning infrastructure as well as contribute to the innovation of our AI solutions while working with a dynamic and collaborative team. 

If you are excited about driving impactful projects where your contributions will have a direct impact on how customers use our products, we’d love to get to know you!

What you’ll do

• Collaborate: Work across teams such as Infrastructure Engineering, Application Development, and Machine learning to develop and deploy LLM applications
• Build: Build ML infrastructure to develop, fine-tune, and serve GenAI & LLM applications
• Model serving: Utilize Kubernetes and AWS services to containerize and serve our applications effectively
• Improve process: Integrate tools and practices to standardize workflows and improve LLM prompt engineering, model evaluation, performance monitoring, and reproducibility. 

What you’ll bring

• Machine Learning Experience: 7+ years of experience as an ML Platform/ML Ops Engineer, preferably in a high-growth, scaling environment
• ML Toolset: Proficiency using Python to write and optimize code to support ML models as well as tools such as Kubeflow, LangChain and LlamaIndex
• LLM knowledge: Hands-on experience in productionization of OpenAI, LLaMA or other LLM based applications using techniques such as Prompt Engineering, RAG, or Fine Tuning
• Infrastructure building: Experience designing, building, and scaling ML infrastructure using Kubernetes, Terraform, and AWS
• Team Player Mentality: A background in working across multiple functions to achieve team-wide and company-wide goals, fostering a culture of innovation