Is the Machine Learning Operations Engineer role at Merlinlabs remote?

The Machine Learning Operations Engineer role at Merlinlabs is an on-site position located in Boston.

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Machine Learning Operations Engineer

MerlinlabsBoston2h ago

About Merlin:

Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest challenges.

About you:

You are a passionate engineer with expertise in DevOps and MLOps. You thrive in dynamic environments and enjoy working at the intersection of automation and machine learning. Your technical skills in cloud platforms, containerization, and automation tools are complemented by your ability to collaborate with cross-functional teams. You excel at problem-solving, have strong scripting skills, and are familiar with modern DevOps practices. Your commitment to security, scalability, and reliability ensures efficient and secure systems. If you’re excited about innovative ML projects, you’re the perfect fit for our team.

Responsibilities:

Design, build, and maintain scalable and reliable infrastructure for machine learning, data management and software applications.

Develop, implement and maintain CI/CD pipelines to automate the deployment and testing of ML models.

Monitor and manage the performance, availability, and security of ML models and applications in production.

Implement and manage containerization technologies (Docker, Kubernetes) to ensure efficient resource utilization.

Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.

Manage and maintain ML team’s database

Ensure best practices for version control, testing, and documentation are followed.

Stay up-to-date with the latest industry trends and technologies in DevOps and MLOps.

Qualifications:

3+ years of experience in DevOps, MLOps, or a related role.

Bachelor’s degree in Computer Science, Engineering, or a related field.

Strong knowledge of cloud platforms (AWS, Azure, GCP) and cloud-native services.

Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or similar tools.

Proficiency in containerization technologies (Docker, Kubernetes).

Familiarity with infrastructure as code (IaC) tools like Terraform, Ansible, or CloudFormation.

Database Architecture or Management Experience

Solid understanding of software development lifecycle (SDLC) and Agile methodologies.

Strong scripting skills in Python, Bash, or similar languages.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Nice to haves:

Experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn).

Experience with MLOps platforms such as Weights and Biases or MLflow

Familiarity with security best practices in DevOps and MLOps.

Experience working on software development processes for a regulated environment (aerospace, medical, automotive, etc.)

Experience with building scalable machine learning model training infrastructure in the cloud

Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission.

Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, genetic information, sex (including pregnancy), gender, gender identity and expression, sexual orientation, age, marital status, military service or obligation or disability status, or any other characteristic protected by law. All job offers are contingent upon the candidate passing background and reference checks.

At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to: people@merlinlabs.com

Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.

Machine Learning Operations Engineer

Responsibilities:

Qualifications:

Nice to haves:

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