MLOps Engineer
With the ever-increasing demand for artificial intelligence and machine learning solutions, MLOps Engineers are at the forefront of ensuring seamless integration and deployment.
We are seeking a skilled MLOps Engineer to join our team. As an MLOps Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, automating model deployment, and collaborating with cross-functional teams to ensure successful model implementation.
* Data Pipeline Development: Design and implement scalable data pipelines using Terraform and Databricks.
* Model Deployment: Automate model deployment in Kubernetes and Databricks, ensuring smooth model lifecycle management.
* Collaboration: Work closely with Data Scientists, DevOps Engineers, and other stakeholders to identify opportunities for process improvement and optimize model performance.
A strong background in software development, data engineering, and cloud computing is essential. Experience with containerization tools like Docker and orchestration platforms like Kubernetes is a plus. Our ideal candidate has excellent communication skills, can work independently, and thrives in a fast-paced environment.
In return, we offer a competitive salary, comprehensive health insurance, remote working options, and access to ongoing training and development programs to help you grow professionally and personally.