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Artificial Intelligence Machine Learning Physics Jobs in Virginia

AI Solutions Architect

Mclean, VA · On-site

$163.40 - $322.10/hr

... for artificial intelligence, machine learning, automation, and data-driven Human Capital ... or Physics, or equivalent experience • 8+ years of experience in product sales, software ...

New

... Mathematics, Physics, Physical or Biological Sciences or a related field • 7+ years of experience in Data Science, Artificial Intelligence, or Machine Learning • Expertise in artificial ...

If you are passionate about artificial intelligence, data-driven solutions, and continuously ... Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ...

If you are passionate about artificial intelligence, data-driven solutions, and continuously ... Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ...

Showing results 21-40

Artificial Intelligence Machine Learning Physics information

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Virginia look for? The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Virginia are:
What cities in Virginia are hiring for Artificial Intelligence Machine Learning Physics jobs? Cities in Virginia with the most Artificial Intelligence Machine Learning Physics job openings:

Artificial Intelligence/ Machine Learning Developer

Unissant

Ashburn, VA • On-site

$127K - $197K/yr

Full-time

Re-posted 29 days ago


Job description

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com.We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer.Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.Essential Duties and Responsibilities:Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.This is a client-facing position working on-site as per the requirements established by the DHS customer.Develop, train, and deploy advanced AI/ML and Gen-AI models.Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models.Optimize model performance, ensuring accuracy, efficiency, and scalability.Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs.Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.Work Experience and Job Skills:3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically.Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional)Experience with machine learning and generative AI frameworks.Experience with natural language processing techniques (e.g., text classification, language generation).Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applicationsProficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database)and data warehousing concepts.An understanding and competency surrounding data storage, accesses, and loading.Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc.ETL/ELT ConceptsData warehouse conceptsSQLCompetency in data exploration, analytics, and feature engineering. (Python Specific)Pandas / NumPy / Polars / PySparkPlotly / Matplotlib (some form of data visualization)Data encoding / normalizing / regularizing / etc.Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems.Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch.Proficiency in NLP Tools SpaCy, ThinC, Gensim.Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok.General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning.Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.Adaptability to changing priorities and a willingness to learn and grow are essential.Excellent organizational skills, and ability to effectively manage concurrent projects.Comprehensive problem-solving skills with exceptional attention to detail.Ability to learn, evolve, think creatively and proactively.Able to work under pressure (at times) and to be extremely flexible with changing prioritiesAbility to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance.Education:Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted.Certificates, Licenses and Registrations:This federal program requires the candidates to be a United States Citizen.Must have an active DHS clearance.Any related systems engineering, or related technical certifications are desired.AWS/Azure/GCP AI/ML certifications are preferred but not required.Communication Skills:Must have excellent written and verbal communication skillsAbility to convey technical information to non-technical individuals.Demonstrated experience communicating effectively across internal and external organizations.Must work well in a matrixed team environment. ​Travel:On-site in Ashburn, VAEnvironmental Requirements:Mainly sedentary; in an office environmentMay be required to lift up to ten (10) poundsFlexible in working extended hoursThe above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.Please note: Candidate(s) will be required to go through pre-employment screening.Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets) 
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