Devops Web3 Jobs in North America

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Job Position Company Posted Location Salary Tags

Plai Labs

Los Angeles, CA, United States

$75k - $150k

Ripple

Toronto, Canada

$58k - $100k

Ripple

Toronto, Canada

$112k - $165k

Consensys

Remote

$150k - $225k

Ionicpartners

United States

$92k - $101k

Ionicpartners

United States

$92k - $101k

Infura

United States

$135k - $210k

Foundry

New York, NY, United States

$105k - $190k

Hiro Systems PBC

New York, NY, United States

$175k - $195k

Figure

San Francisco, CA, United States

$138k - $172k

FalconX

San Francisco, CA, United States

$106k - $165k

Ellipsis Labs

New York, NY, United States

$74k - $150k

Openmesh Network

New York, NY, United States

$90k - $100k

Phantom

San Francisco, CA, United States

$170k - $220k

DApp360 Workforce

New York, NY, United States

$122k - $150k

Associate MLOps DevOps Engineer

Plai Labs
$75k - $150k

This job is closed

Associate ML-Ops/DevOps Engineer

Los Angeles
Salt AI – Engineering - Salt AI /
Full Time /
Remote

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We are seeking a passionate and motivated associate-level ML-ops or DevOps engineer to join our team. The ideal candidate will have experience in software engineering, configuration management, deploying and managing software dependencies within the Python development technology stack. They will be responsible for identifying, analyzing and resolving dependency issues across our product ecosystem. Additionally this role will help drive continuous improvement through automation, testing and CI/CD pipeline management.

Key Responsibilities

    • Lead the management of software dependencies within our product solutions, ensuring seamless integration and compatibility across our core SaaS product.
    • Conduct thorough analysis of dependencies to identify potential issues, conflicts, and security vulnerabilities, with a specific focus on ML frameworks and libraries.
    • Develop and implement strategies to resolve dependency conflicts within a multi-tenant, multi-solution SaaS environment.
    • Serve as a subject matter expert on dependency management tools and best practices within the context of ML Ops.
    • Collaborate closely with ML engineers, DevOps engineers and Software Engineers to address dependency-related challenges and streamline the ML development process.
    • Implement automation and orchestration solutions to automate dependency management tasks and enhance efficiency in ML solution deployment and experimentation.
    • Document dependency management processes, standards, and guidelines to ensure compliance with organizational policies and compliance requirements.
    • Stay up-to-date with the latest trends and advancements in ML Ops and dependency management, and proactively identify opportunities for process automation and improvement.

Qualifiications

    • 2+ years working with Python and related Python libraries and frameworks.
    • Proven experience in software engineering and working on software engineering teams.
    • Proficiency in scripting, and automation using languages such as Python and Bash.
    • Knowledge of dependency management tools such as ‘poetry’, ‘pip’, ‘conda’, etc.
    • Excellent communication, collaboration and problem-solving skills.
    • Strong problem-solving skills and the ability to debug, analyze and breakdown complex technical issues into smaller, simple and digestible working solutions.
    • Ability to thrive in a fast-paced, dynamic environment and ability to manage multiple priorities effectively.

Preferred Qualifiications

    • Experience working with ComfyUI, including building and deploying ‘nodes’ within the ComfyUI platform.
    • Experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
    • Experience working in Agile/Scrum development environments.
    • Experience with containerization technologies such as Docker and Kubernetes.
    • Experience with CI/CD tooling and pipelines.
$75,000 - $150,000 a year
Salary Range: $75,000-$150,000 USD per Year

By disclosing our salary range transparently, we aim to foster an environment of fairness and openness, ensuring that every candidate has the information they need to make an informed decision. We are committed to offering competitive compensation packages aligned with industry standards and the value our employees bring to our growing team.
Plai Labs is on a mission to seamlessly connect people and organizations with the world's foremost AI innovations, anywhere, anytime. We do this by providing a platform that simplifies the deployment of AI-powered solutions. Our products aim to accelerate the pace of innovation, enabling a future where AI is integral to solving some of the world's most pressing challenges.
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