Our client, a leading provider of digital creative solutions, has an excellent opportunity for a Senior Software Engineer (MLOps) to work on a 6+month contract opportunity. Work will be a hybrid schedule in San Jose, CA.
Rate : $65 - $75 / hr. w2
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities
- Pipeline Development : Implement, optimize, and maintain CI / CD pipelines for ML systems, including integrations with GitHub workflows and Jenkins.
- Collaboration : Partner with data scientists, frontend engineers, and platform teams to deliver seamless integration of ML models into core evaluation platforms.
- Environment Management : Administer ML development / production environments using cloud-native solutions; optimize for scalability, reliability, and cost.
- Tooling and Automation : Evaluate, build, and deploy automation tools to streamline the end-to-end ML lifecycle.
- Quality & Monitoring : Enhance and develop quality evaluation features and ensure robust monitoring via dashboards and automated alerts.
- Documentation & Best Practices : Champion engineering best practices, promote code quality, and document workflows, tools, and processes for effective team adoption.
Experience Requirements
Python, Typescript, Shell script languagesExperience with ML pipeline tools (Kubeflow, Airflow, MLflow)Services on AWS such as S3, Lambda, DynamoDBCI / CD systems (GitHub Actions, Jenkins, GitLab)Infrastructure-as-Code experience (Terraform, CloudFormation)Containerization (Docker, Kubernetes)Communication and documentation skillsStrong problem-solving skills and the ability to work collaboratively across teams.Strong knowledge of ML-Ops a bonusEducation Requirements
BS or MS in Computer Science, Artificial Intelligence, or a related technical field.#J-18808-Ljbffr