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Machine Learning Operations Jobs in Maryland (NOW HIRING)

InterImage

Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale. InterImage ...

InterImage

2906 AI Engineer

Annapolis, MD · On-site

Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale. InterImage ...

Nordic

Understanding of machine learning operations * Attention to detail * Ability to work with technical and non-technical stakeholders * Requirements translation * Agile work process * Continuous learner ...

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All JobsMachine Learning Operations JobsMachine Learning Operations Jobs in Maryland

Machine Learning Operations information

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks above average compared to other tech roles.
What cities in Maryland are hiring for Machine Learning Operations jobs? Cities in Maryland with the most Machine Learning Operations job openings:
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in Maryland as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Engineer

Avid Technology Professionals

Annapolis Junction, MD • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Avid Technology Professionals is seeking an AI Engineer to lead the design and development of AI-driven solutions. The role involves collaborating with cross-functional teams, conducting data analysis, and developing machine learning models to improve existing systems.
Responsibilities:
• Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
• This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
• Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts.
• Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and nontechnical stakeholders.
• Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
• Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements.
• Implement robust testing and validation strategies to ensure models are accurate and unbiased.
• Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
• Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
Qualifications:
Required:
• Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
• Prototyping new models, writing production-quality code, and maintaining existing AI systems.
• Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts.
• Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and nontechnical stakeholders.
• Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
• Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements.
• Implement robust testing and validation strategies to ensure models are accurate and unbiased.
• Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
• Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
Company:
ATP is a successful and growing team of exceptional IT professionals. Good pay. Great benefits. Empowering employees. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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