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Deep Learning Ai Jobs in Silver Spring, MD (NOW HIRING)

The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities โ€ข Build and enhance machine learning models ...

The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities โ€ข Build and enhance machine learning models ...

The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities โ€ข Build and enhance machine learning models ...

AI Learning Specialist

Baltimore, MD ยท On-site

$150K - $170K/yr

We are looking for an AI Learning Specialist who combines deep technical knowledge with a talent for crafting and delivering accessible learning experiences for all. Join us in a vibrant and ...

AI Learning Specialist

Windsor Mill, MD ยท Remote

$150K - $170K/yr

We are looking for an AI Learning Specialist who combines deep technical knowledge with a talent for crafting and delivering accessible learning experiences for all. Join us in a vibrant and ...

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Deep Learning Ai information

See Silver Spring, MD salary details

$11.4K

$86.7K

$144.7K

How much do deep learning ai jobs pay per year?

As of Jul 4, 2026, the average yearly pay for deep learning ai in Silver Spring, MD is $86,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $143,700.00 per year, depending on experience, location, and employer.

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

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What is the main job of deep learning in AI?

The main job of deep learning in AI is to develop models that can automatically learn complex patterns and representations from large amounts of data, enabling tasks such as image recognition, natural language processing, and speech understanding. Deep learning engineers design, train, and optimize neural networks using tools like TensorFlow or PyTorch to improve AI system performance.

What are some common challenges faced by professionals working in Deep Learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the salary of AI and deep learning?

The salary for roles in AI and deep learning varies based on experience, location, and education, but typically ranges from $80,000 to over $150,000 annually for skilled professionals. Entry-level positions may start around $70,000, while senior roles or those requiring advanced skills in machine learning frameworks and programming languages can earn higher salaries.

What are the key skills and qualifications needed to thrive as a Deep Learning AI Engineer, and why are they important?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

Which 3 jobs will survive AI?

Deep Learning AI professionals will continue to find roles in research, model development, and AI ethics, as these areas require specialized expertise and human oversight. Jobs involving complex problem-solving, creativity, and emotional intelligence, such as AI research scientists, data scientists, and AI ethics specialists, are less likely to be fully automated. Skills in programming, data analysis, and understanding of AI frameworks will remain valuable in these roles.

What are Deep Learning AI professionals?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI projects, developing innovative algorithms, and managing teams, with compensation reflecting the expertise and impact of the position.
What are popular job titles related to Deep Learning Ai jobs in Silver Spring, MD? For Deep Learning Ai jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Deep Learning Ai jobs in Silver Spring, MD look for? The top searched job categories for Deep Learning Ai jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Deep Learning Ai jobs? Cities near Silver Spring, MD with the most Deep Learning Ai job openings:
Machine Learning/AI Engineer

Machine Learning/AI Engineer

System One

Merrifield, VA โ€ข Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Job description

Job Title: Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract

We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps, and emerging AI technologies. Candidates must live in the United States and be able to pass both a criminal and credit background check. We are open to W2 and established 1099 candidates โ€“ no c2c. This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist). The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems. The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities โ€ข Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. โ€ข Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. โ€ข Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. โ€ข Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. โ€ข Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. โ€ข Research and evaluate emerging technologies. โ€ข Develop data science solutions based on tools and cloud computing infrastructure. โ€ข Perform other duties as assigned.

Requirements โ€ข Advanced degree in in computer science, mathematics, physics, statistics. โ€ข Strong experience with applying expertise in model design, training, validation, and monitoring. โ€ข Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. โ€ข Experience with cloud computing infrastructure. โ€ข Experience with Computer Vision, image processing and video analytics. โ€ข Experience with Natural Language Processing/ Natural Language Understanding. โ€ข Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. โ€ข Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). โ€ข Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases. โ€ข Ability to work individually, and as part of a team. โ€ข Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired: โ€ข Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. โ€ข Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. โ€ข A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. โ€ข Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments. โ€ข Knowledge on principles of A.I. Security and Safety. โ€ข Experience with Advance Reinforcement Learning Paradigms. โ€ข Experience with Speech Recognition. โ€ข Experience with Microsoft Azure services.

System One, and its subsidiaries including Joulรฉ and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #851-Rockville-S1