Machine Learning Engineer (MLOps)

Luxoft; Los Angeles (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

A leading technology services firm is seeking a qualified individual to work alongside software engineers and data scientists in Los Angeles. This role focuses on the creation and maintenance of CI/CD pipelines for ML model deployment and requires strong Python programming skills along with experience in relevant libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with containerization tools like Docker/Kubernetes and cloud services like AWS is essential. The candidate will handle data management tasks and ensure effective deployment in production environments.

Qualifications

• 5+ years of Python experience required.
• Familiarity with relevant libraries, e.g., scikit-learn, TensorFlow, or PyTorch.
• Experience with containerization (Docker/Kubernetes) and cloud services (AWS).

Responsibilities

• Creation and maintenance of CI/CD pipelines for efficient deployment of ML models.
• Data management by connecting with data sources and creating ETL pipelines.

Skills

Python

scikit-learn

TensorFlow

PyTorch

Docker

Kubernetes

AWS

Tools

Docker

Kubernetes

AWS

Job description

Work alongside software engineers and data scientists to ensure that quantitative research models are effectively developed, tested, and deployed in production environments.

Responsibilities:

• Creation and maintenance of CI/CD pipelines for efficient deployment of ML models
• Data management - e.g. connect with data sources and create ETL pipelines, cleanse the data, create datasets for model retraining

Mandatory Skills Description:

• 5+ Years of Python
• Familiarity with relevant libraries, e.g. scikit-learn, TensorFlow, or PyTorch.
• Containerization (Docker / Kubernetes) and Cloud (AWS).

Nice-to-Have Skills Description:

• Experience in applying MLOps principles to financial domain.