MLOps Engineer

This Jobot Job is hosted by: Jake Durham
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Salary: $180,000 - $290,000 per year

A bit about us:

We revolutionize advocacy by seamlessly integrating cutting-edge technology into lobbying strategies. Our platform harnesses the power of artificial intelligence, offering lobbyists unparalleled efficiency in navigating legislative landscapes. With a commitment to transparency and effectiveness, we empower our clients to make informed decisions and maximize their impact. Join us as we redefine the future of advocacy through innovation and automation.

Why join us?

• Remote first work environment
• Accelerated growth
• Greenfield Development opportunities
• Play a cutting role in building our AI Infrastructure
• Unlimited PTO

Job Details

Job Details:

We are seeking a passionate and experienced MLOps Engineer to join our dynamic technology team. This is an exciting opportunity where you will be responsible for developing, implementing, and maintaining our AI infrastructure. The ideal candidate will have a strong background in MLOps, DevOps, Kubernetes, Python, PyTorch, and GPU programming. You will be hands-on with infrastructure as code using Terraform or CloudFormation and have a deep understanding of CI/CD pipelines. Familiarity with machine learning methodologies and AWS is a must. Candidates with TS/SCI Clearance will be preferred.

Responsibilities:

1. Design, build, and maintain machine learning infrastructure and platforms using MLOps, DevOps, and Kubernetes.
2. Develop and streamline machine learning pipelines using Python and PyTorch.
3. Implement and manage infrastructure as code using Terraform or CloudFormation.
4. Develop and manage CI/CD pipelines for automated testing and deployment.
5. Leverage GPU programming for efficient processing and execution of complex machine learning algorithms.
6. Collaborate with machine learning and data science teams to understand their needs and ensure the infrastructure supports their requirements.
7. Monitor and troubleshoot machine learning infrastructure and pipelines.
8. Maintain up-to-date knowledge of current and emerging technologies, trends, and techniques in the field of machine learning and DevOps.
9. Ensure compliance with security and data privacy regulations.

Qualifications:

1. Bachelor's degree in Computer Science, Information Technology, or related field.
2. At least 3 years of experience in MLOps, DevOps, Kubernetes, Python, PyTorch, GPU programming, and machine learning.
3. Hands-on experience with infrastructure as code using Terraform or CloudFormation.
4. Proven experience with CI/CD pipelines.
5. Proficient with AWS cloud services.
6. Familiarity with machine learning methodologies.
7. TS/SCI Clearance is a plus.
8. Excellent problem-solving skills and attention to detail.
9. Strong communication and teamwork skills.
10. Ability to work independently and manage multiple tasks simultaneously.
11. Demonstrated ability to stay current with the latest technologies and advancements in the field.

If you are a passionate MLOps Engineer looking to make a significant impact in a fast-paced technology industry, we would love to hear from you. This is an excellent opportunity to join a forward-thinking company and work with a team of highly skilled professionals. Apply today!

Interested in hearing more? Easy Apply now by clicking the "Apply" button.