MLOps (Python) (offline)

The customer of Particles Global - The USA-based company - (develops AI-powered software for faster, easier, & smarter accounts payable) - is looking for an ML Ops with Python Developer.

About the company: The team is a mixed data and engineering team with 10 people led by the Director of Data and Engineering. They use a modified scrum methodology (2 weeks sprints). The role will involve development, deployment and maintenance of LLMs and ML models on a team with another Data and ML Ops team member (who speaks Ukrainian). They work a flexible schedule, but developers will need to be available at 10am-2pm New York Time (EST).

Requirements:

- Intermediate machine learning knowledge (pandas, numpy, scikit learn, lightgbm, xgboost);

- Python knowledge;

- Fast API framework;

- Experience with ML inference;

- LLM deployment (Langchain, Open AI, Vertex AI, etc);

- Capacity to work independently;

- Good communication skills.

Nice to have:

Kubeflow/Kserve framework for ML;

Ray framework;

Kubernetes knowledge;

Terraform knowledge;

Interview process:

1. Initial 30 minute call with the customer.

2. A short technical assignment.

3. 60 minute final technical call with the customer.