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Remote Deep Learning Engineer Jobs in Maryland (NOW HIRING)

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Understanding of Generative AI and Deep Learning frameworks. * Experience with streaming frameworks ...

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Understanding of Generative AI and Deep Learning frameworks. * Experience with streaming frameworks ...

Booz Allen Hamilton, Inc.

AI and ML Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

... programming and deep learning frameworks such as PyTorch, TensorFlow, or Keras * Experience ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Cloudera

$52.75 - $68.25/hr

Deep understanding of the data engineering prerequisites required for machine learning, deep ... Employee Resource Groups EEO/VEVRAA #LI-Remote #LI-MH2

Quidient

Future Opportunities

Columbia, MD · On-site +1

AI/ML, Deep Learning, and Neural Rendering * Software Engineering (C++, C#, Python, JavaScript, or full-stack web) * Hardware Integration, Sensors, and Edge Computing * Product, Design, and User ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

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Showing results 41-60

All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Maryland

Remote Deep Learning Engineer information

See Maryland salary details

$10.7K

$81.4K

$135.9K

How much do remote deep learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote deep learning engineer in Maryland is $81,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $134,900.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What are the key skills and qualifications needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What are the most commonly searched types of Deep Learning Engineer jobs in Maryland?

The most popular types of Deep Learning Engineer jobs in Maryland are:

What are popular job titles related to Remote Deep Learning Engineer jobs in Maryland?

For Remote Deep Learning Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning Engineer jobs in Maryland look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Maryland are:

What cities in Maryland are hiring for Remote Deep Learning Engineer jobs?

Cities in Maryland with the most Remote Deep Learning Engineer job openings:

Remote Deep Learning Engineer jobs near you
Infographic showing various Remote Deep Learning Engineer job openings in Maryland as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $81,414 per year, or $39.1 per hour.

Business Intelligence Developer

Index Analytics

Baltimore, MD • On-site, Remote

$96K - $118K/yr

Other

Posted 12 days ago

Job description

Company Overview
Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.
Position Overview
We are seeking a Junior BI Developer with foundational SQL, reporting, and data analysis skills, strong attention to detail, and a desire to build expertise in business intelligence development. This role is ideal for an early-career professional interested in developing hands-on experience with SAP BusinessObjects, enterprise reporting solutions, and business intelligence technologies in a federal client environment.
Working under the guidance of senior developers, analysts, data teams, and business stakeholders, the Junior BI Developer will support the development, maintenance, testing, and troubleshooting of enterprise reporting solutions using SAP BusinessObjects, SQL, and related analytics tools. Responsibilities include assisting with report and universe development, creating and validating SQL queries, testing and validating report outputs, documenting report logic and technical specifications, and supporting ongoing reporting operations and production issue resolution.
This position provides exposure to the full reporting solution lifecycle, including requirements analysis, design support, development, testing, deployment, maintenance, and continuous improvement of analytical products and reporting applications within enterprise business intelligence environments.
Key Responsibilities
  • Design, develop, and maintain machine learning and deep learning models, including both traditional (e.g., regression, tree-based models) and neural network-based approaches.
  • Build and deploy end-to-end ML pipelines on AWS (e.g., SageMaker, S3, Glue) for scalable training, evaluation, and inference.
  • Develop and implement advanced NLP solutions, including text classification, entity recognition, topic modeling, and semantic search using models such as BERT and transformer-based architectures.
  • Design, build, and productionize RAG (Retrieval-Augmented Generation) systems, including document ingestion, embedding pipelines, vector search, and LLM orchestration.
  • Design and implement a scalable knowledge graph and semantic data model that captures relationships among policies, analytic use cases, data domains, information assets, products, and institutional knowledge, enabling advanced search, discovery, impact analysis, and AI-assisted knowledge retrieval.
  • Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and optimization techniques for accuracy, consistency, and cost.
  • Contribute to agentic AI system design, including multi-step reasoning workflows, tool use, and orchestration of LLM-driven agents for complex tasks.
  • Implement predictive analytics and statistical modeling to uncover patterns, trends, and insights from healthcare data.
  • Perform data mining and exploratory data analysis (EDA) using state-of-the-art techniques across structured and unstructured datasets.
  • Build data visualizations, dashboards, and analytical tools to communicate findings clearly to technical and non-technical stakeholders.
  • Evaluate model performance using appropriate metrics (e.g., accuracy, AUC, precision/recall) and present results in a clear, actionable manner.
  • Collaborate in an Agile environment with cross-functional teams including engineers, analysts, and stakeholders.
  • Recommend data-driven solutions and AI strategies aligned with CMS business needs and healthcare policy objectives.

  • U.S. citizen or otherwise authorized to work in the United States and able to demonstrate physical residency in the U.S. for at least three (3) of the past five (5) years. Must be able to obtain a U.S. Federal government client badge and pass a Public Trust clearance.
  • Master's degree in Computer Science, Data Science, or a related field required; PhD preferred. A minimum of six (6) years of experience or an equivalent combination of education and experience, with three (3) or more years of experience as a Data Scientist or in a similar role.
  • Strong experience in machine learning and statistical modeling, including supervised and unsupervised learning techniques, deep learning, and a solid foundation in probability, hypothesis testing, and regression.
  • Proven expertise in NLP and text analytics, including transformer-based architecture (e.g., BERT and related models), embeddings, vector databases, and semantic search systems.
  • Hands-on experience building LLM-powered applications, including prompt engineering, RAG architecture, and ideally agentic workflows or LLM orchestration frameworks, preferably within AWS environments (e.g., Bedrock).
  • Experience with developing and using knowledge graphs strongly preferred.
  • Advanced programming skills in Python (preferred) and/or R, with practical experience using ML and data libraries such as pandas, NumPy, scikit-learn, PyTorch, and TensorFlow.
  • Strong experience with AWS cloud and MLOps tooling, including SageMaker, S3, Glue, Airflow, and data stores such as Redshift and DynamoDB, along with version control (GitHub) and CI/CD pipelines (e.g., Jenkins).
  • Experience with backend systems and data integration, including data modeling and supporting APIs for web-based and production applications.
  • Experience working with large healthcare datasets, especially Medicaid, a plus
  • Strong written and verbal communication skills, with the ability to explain complex models and insights clearly.
  • Experience supporting CMS or other federal healthcare agencies is a plus.

Disclaimer
Index Analytics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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