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Machine Learning Assistant Jobs in Baltimore, MD

AI Software Engineer - Java

Aberdeen, MD · On-site

$130K - $160K/yr

Support the development of distributed systems and cloud-enabled applications in government environments. * Assist in the integration of Artificial Intelligence (AI) and Machine Learning (ML ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Identify and assist in the correction of data errors. Requires python, jupyter, experience with ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Identify and assist in the correction of data errors. Requires python, jupyter, experience with ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Identify and assist in the correction of data errors. Requires python, jupyter, experience with ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Data Scientist 2

Annapolis, MD · On-site

$115K - $145K/yr

This role combines artificial intelligence and machine learning skills with a strong foundation in ... conversely, assist others with drawing appropriate conclusions from the analysis of such data.

This role combines artificial intelligence and machine learning skills with a strong foundation in ... conversely, assist others with drawing appropriate conclusions from the analysis of such data.

Relevant experience must be in designing/implementing machine learning, data science, advanced ... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

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Machine Learning Assistant information

See Baltimore, MD salary details

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How much do machine learning assistant jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for machine learning assistant in Baltimore, MD is $17.94, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $19.09 per hour, depending on experience, location, and employer.

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

Is ML a high paying job?

Machine Learning Assistant roles are generally well-paying compared to many entry-level positions, with salaries often reflecting the specialized skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. Compensation varies based on experience, location, and industry, but the field is known for competitive salaries and growth opportunities.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior machine learning engineers, or research directors, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These positions are usually found in large tech companies or specialized AI firms and may involve leadership, strategic planning, and cutting-edge research.

Which 3 jobs will survive AI?

For a Machine Learning Assistant, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and domain-specific consultants. These jobs involve nuanced judgment, ethical considerations, and contextual understanding that AI tools currently cannot fully replicate.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized roles such as senior software engineers, data scientists, or freelance consultants with in-demand skills. These positions typically require extensive experience, advanced certifications, or freelance work with high hourly rates, and may involve project-based or contract work in industries like technology, finance, or consulting.

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
What are the most commonly searched types of Machine Learning jobs in Baltimore, MD? The most popular types of Machine Learning jobs in Baltimore, MD are:
What are popular job titles related to Machine Learning Assistant jobs in Baltimore, MD? For Machine Learning Assistant jobs in Baltimore, MD, the most frequently searched job titles are:

Senior AI/ML Process Engineer

AGE Solutions

Fort George G Meade, MD • Hybrid

$170K/yr

Other

Posted 6 days ago


Job description

AGE Solutions is seeking a Senior AI/ML Process Engineer to support our DoD customer in modernizing Risk Management Framework (RMF) processes through automation, artificial intelligence, and emerging technologies.

This position will help identify, evaluate, and recommend opportunities to leverage Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent document processing technologies to improve the speed, accuracy, and efficiency of cybersecurity and risk management operations.

The successful candidate will work closely with process engineers, cybersecurity professionals, and government stakeholders to assess current workflows and develop innovative solutions that accelerate RMF execution and reduce manual effort.

Responsibilities Include:

  • Conduct analysis of RMF-related business processes and identify opportunities for AI-enabled modernization.
  • Evaluate emerging technologies including Generative AI, Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent document processing.
  • Assess opportunities to automate cybersecurity and RMF activities, including:
    • Control assessments
    • Evidence reviews
    • STIG development and maintenance
    • Ticket triage
    • Connection package reviews
    • Cross Domain risk analysis
  • Collaborate with process engineers to develop future-state workflows incorporating AI and automation technologies.
  • Support development of implementation roadmaps and modernization strategies.
  • Research commercial and government AI capabilities applicable to RMF and cybersecurity operations.
  • Develop executive briefings, white papers, recommendations, and technical documentation.
  • Support pilot initiatives and proof-of-concept activities.
  • Assist with workflow automation initiatives using ServiceNow, Jira, RPA, and related technologies.

Required Skills, Qualifications and Experience:

  • Education:
    • Bachelor's degree in engineering, Computer Science, Information Systems, Business, or related discipline.
  • Experience:
    • 15 Years of experience with a minimum of (5) years' experience in process improvement, business process analysis, cybersecurity operations, AI/ML technologies, or digital transformation initiatives.
    • Experience evaluating or implementing AI, ML, Generative AI, NLP, or intelligent automation solutions.
    • Experience conducting technical analysis and developing recommendations for process improvement initiatives.
  • Security Clearance:
    • Must have a current DoD Secret Clearance.
  • Certifications:
    • Must have a Current DoD 8570/8140 compliant certification (Security+, CAP, CISSP, CISM, or equivalent).
      • Additional role-specific certifications in process improvement, automation, AI/ML, or cybersecurity are highly desired.
  • Skills and Knowledge:
    • Demonstrated proficiency with Microsoft Visio, including process modeling, BPMN, swim-lane diagrams, and workflow analysis.
    • Demonstrated proficiency with Microsoft PowerPoint and executive-level presentation development.
    • Working knowledge of DoD RMF, NIST SP 800-37, NIST SP 800-53, CNSSI-1253, and DoDI 8500.01/8510.01.
    • Familiarity with STIG/SRG/CCI development, A&A processes, Cloud A&A processes, or cloud cybersecurity architecture.
    • Working knowledge of workflow automation technologies including ServiceNow, Jira, and Robotic Process Automation (RPA).
    • Knowledge of AI/ML concepts, LLMs, Generative AI, NLP, and intelligent document processing technologies.
    • Strong analytical, research, technical writing, and problem-solving skills.
  • Location:
    • This is a hybrid position. Must be able to travel periodically to Fort Meade, MD and Chambersburg, PA to support customer meetings, workshops, and program activities.

Preferred Qualifications:

  • Experience supporting DISA, DoD, or federal cybersecurity programs.
  • Experience with Azure AI, AWS AI/ML services, OpenAI, Anthropic, or similar enterprise AI platforms.
  • Familiarity with AI governance, responsible AI principles, and cybersecurity applications of AI.
  • Experience developing strategic technology roadmaps and modernization recommendations.
  • Certifications in cloud-based Artificial Intelligence (AI) and Machine Learning (ML) technologies, including AWS Certified AI Practitioner, Microsoft Azure AI Fundamentals, Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent credentials highly preferred.
  • Lean Six Sigma certification or process improvement experience.

The projected salary range for this position is $170,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications.