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Remote Mlops Jobs (NOW HIRING)

MLOps Automation Senior Lead Engineer

Austin, TX ยท On-site +1

$103K - $135K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Automation Senior Lead Engineer

Austin, TX ยท On-site +1

$103K - $135K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Automation Senior Lead Engineer

Dallas, TX ยท On-site +1

$102K - $135K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Engineer

$40 - $60/hr

Remote (working in CST hours) Project Details: Own the end-to-end lifecycle of production ML ... Must Have Skills: * 4+ years of MLOps/ML platform or DevOps for data/ML systems * Hands on GCP ...

MLOps Automation Senior Lead Engineer

Houston, TX ยท On-site +1

$99K - $130K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Automation Senior Lead Engineer

Akron, OH ยท On-site +1

$99K - $130K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Automation Senior Lead Engineer

Cleveland, OH ยท On-site +1

$100K - $132K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Automation Senior Lead Engineer

Austin, TX ยท On-site +1

$93K - $189K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Showing results 1-20

Remote Mlops information

What is the difference between Remote Mlops vs Data Engineer?

AspectRemote MlopsData Engineer
Required CredentialsCertifications in cloud platforms, ML frameworks, scripting skillsDatabase, ETL, SQL, cloud certifications
Work EnvironmentRemote, cloud-based, collaboration with ML teamsRemote or on-site, data infrastructure focus
Industry UsageAI/ML companies, tech firms, startupsData-driven companies, finance, healthcare, tech
Common Search/ComparisonYesYes

Remote Mlops and Data Engineers share overlapping skills like cloud computing and scripting, but Remote Mlops focuses on deploying and maintaining ML models in production, while Data Engineers build and manage data pipelines. Both roles are essential in data-driven organizations, often collaborating but with distinct technical focuses.

What are the key skills and qualifications needed to thrive as a Remote MLOps Engineer, and why are they important?

To thrive as a Remote MLOps Engineer, you need a strong background in machine learning, software engineering, and cloud computing, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and experience with ML frameworks such as TensorFlow or PyTorch are crucial, along with relevant certifications. Excellent communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating across distributed teams and handling complex deployments. These skills ensure the seamless integration, deployment, and monitoring of machine learning models in production environments, driving efficiency and reliability in remote settings.

What is a Remote MLOps job?

A Remote MLOps job involves managing and automating the deployment, monitoring, and maintenance of machine learning models in production environments, all while working from a remote location. MLOps stands for Machine Learning Operations, and professionals in this role bridge the gap between data science and IT operations to ensure smooth, reliable model performance. Remote MLOps engineers use tools and practices to streamline machine learning workflows, collaborate with distributed teams, and maintain infrastructure without being tied to a physical office.

What are some common challenges faced by remote MLOps engineers, and how can they be overcome?

Remote MLOps engineers often face challenges related to collaborating across distributed teams, ensuring robust CI/CD pipelines for machine learning models, and maintaining secure, scalable cloud infrastructure. Effective communication using collaboration tools and thorough documentation is key to overcoming team coordination issues. Additionally, leveraging cloud-based MLOps platforms and automating routine processes can help streamline workflows and reduce operational friction, allowing engineers to focus on innovation and model optimization.
More about Remote Mlops jobs
What cities are hiring for Remote Mlops jobs? Cities with the most Remote Mlops job openings:
What are the most commonly searched types of Mlops jobs? The most popular types of Mlops jobs are:
What states have the most Remote Mlops jobs? States with the most job openings for Remote Mlops jobs include:

MLOps Automation Senior Lead Engineer

Huntington

Austin, TX โ€ข On-site, Remote

$103K - $135K/yr

Other

Medical, Life, Retirement, PTO

Posted 6 days ago


Job description

Description Summary: The MLOps Automation Engineering Senior Lead will lead a team responsible for building and deploying MLOps Automation for some of Huntington's most valuable and most challenging data-driven projects. Duties and Responsibilities: Streamline the data, analytics, and model development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them through automation. Helps set the strategy and tone for MLOps Automating Engineering strategy and vision for the future.

Understand the current process and technical complexities of developing and deploying data pipelines and model builds and develop automation solutions to improve and extend the existing process to become an unattended delivery pipeline. Collaborate closely with product development, architecture, data engineering and testing teams to understand their current build and release processes and make recommendations for improvement through the automation of various tasks. Partner with cross-functional stakeholders, including development, operations, quality assurance and security, to streamline processes.

Develop and continuously improve automation solutions to enable teams to build and deploy quality data and code efficiently and consistently. Build automated testing solutions in support of quality management objectives to reduce manual effort. Build automated environment provisioning solutions in response to changes in processing demand.

Build automated feedback mechanisms to monitor the performance of models in production. Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues. Prepare and present design and implementation documentation to multiple stakeholders.

Promote automation across the data management and analytics delivery organization. Perform other duties as assigned. Basic Qualifications: Bachelor's Degree (Computer Science, Business Administration, Economics or related fields) or equivalent relevant work experience 10+ years of relevant automation engineering experience, of software engineering, in strategy, management consulting, or similar skillset, and of technical leadership experience with data-centric products 10+ years of experience with one or more coding languages (e.g., JavaScript, C++, Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development platforms (e.g., AWS, Azure, Docker, Kubernetes) Preferred Qualifications: Strong collaboration skills, with a demonstrated ability to work well as part of a team Experience developing CI/CD workflows and tools Strong automation scripting skills Experience in configuration management, test-driven development, and release management

Strong analytical and troubleshooting skills. Experience with agile development and strong understanding of DataOps and ModelOps principles Ability to investigate and analyze information, and to draw conclusions Flexibility, adaptability, and desire to learn new languages and technologies Strong verbal and written communication skills Demonstrated ability to work independently across multiple tasks while meeting aggressive timelines Strategic, intellectually curious thinker with focus on outcomes Professional image with the ability to form relationships across functions Ability to train more junior analysts regarding day-to-day activities, as necessary Proven ability to lead cross-functional efforts Willingness and ability to learn new technologies on the job Financial Services background Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home.

Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range: Total Base Pay Range 93,000.00 - 189,000.00 USD Annual The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan

In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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