ML Ops Engineer
Our client are an AI-driven company based in Virginia and they are hiring a ML Ops Engineer to join their team on a remote basis. The successful candidate will play a pivotal role in building, deploying and maintaining the company’s advanced AI infrastructure.
Responsibilities:
Interested? Apply now! Simply uploaded your resume through the link below and one of our recruiters will be in touch if you’re a match.
45620
Responsibilities:
- As the ML Ops Engineer, you will work alongside data scientists, software engineers and subject matter experts to develop top-tier AI solutions for the government relations sector.
- You will design, deploy and maintain a robust ML infrastructure, ensuring seamless delivery of AI solutions for complex challenges.
- Continuously enhance and optimize their AI systems, keeping pace with the latest advancements in technology.
- Master’s degree in computer science, statistics or similar.
- At least 3 years of experience in AI deployment, MLOps, DevOps or data engineering, working on large-scale projects in AWS.
- Proficiency in containerized applications or microservices using Docker and Kubernetes.
- Extensive experience deploying AI solutions using frameworks like TensorFlow, PyTorch or Transformers.
- Familiarity with CI/CD or DevOps frameworks such as Jenkins, GitHub Actions, and Argo CD.
- Knowledge of cloud infrastructure provisioning or configuration tools like CloudFormation, Terraform, Pulumi and Ansible.
- Strong programming skills in Python, TypeScript and SQL.
- Experience integrating DevSecOps practices throughout the project lifecycle.
- TS/SCI Clearance is a plus.
- Experience working in a hypergrowth startup.
Interested? Apply now! Simply uploaded your resume through the link below and one of our recruiters will be in touch if you’re a match.
45620
-
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Staffing and Recruiting
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