Position: Senior DevOps+ML Engineer
Company: Svitla Systems
Category: DevOps
Experience required: 3y
English level: upper

**Requirements:**
- Solid AWS DevOps experience on scalable products. 
- Experience with Kubernetes, EKS on production.
- Experience with IaC - Terraform.
- Experience in shipping highly scalable distributed systems on cloud platforms (AWS) and database technologies (SQL/NoSQL/column-oriented data stores/distributed databases).
- English - Upper-intermediate or higher.

**Nice to Have:**
- Experience in MLOps on AWS or a desire to work on an ML-based project. 
- Experience with AWS Sagemaker
- Experience with ML technologies: Pytorch, Tensorflow, Pandas, scikit-learn, spark, transformers.

**Responsibilities:**
- Perform inference using existing NLP and computer vision models.
- Use human-in-the-loop annotations to retrain and deploy updated models automatically.
- Monitor and maintain the models in production over time.
- Refactor code form data scientists to push into production.
- Architect and deliver new pipelines to enrich invoice data from the machine learning models.
- Make models available as APIs.
- Work closely with the data scientists to produce the data science and machine learning code developed. Work closely with the engineering team to ensure the data and ML engineering pipelines are performant in production. Eventually, the data and ML engineering work will also require tight integrations into other fintech platforms (e.g., payment platforms).