1

Executive Pytorch Jobs in Washington (NOW HIRING)

Senior AI Engineer

Falls Church, VA · On-site

$111K - $153K/yr

... Executive Service leaders, and operational analysts. The Senior AI Engineer serves as a senior ... PyTorch, TensorFlow, SageMaker, Amazon Comprehend, or Elasticsearch, including experience deploying ...

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies ... Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face)

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies ... Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face)

Data Scientist

Mclean, VA

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow ... Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ...

AWS Python Developer

Reston, VA · Hybrid

$52.25 - $72/hr

... PyTorch. Strong skills in programming languages such as Python, R, or Java, essential for ... (EVP) Will be working on the marketing website refresh Work Environment 3 days onsite in Reston or ...

Data Scientist

Mclean, VA

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow ... Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ...

AWS Python Developer

Reston, VA · On-site

$52.25 - $72/hr

... PyTorch. Strong skills in programming languages such as Python, R, or Java, essential for ... (EVP) Will be working on the marketing website refresh Work Environment 3 days onsite in Reston or ...

Data Scientist

Mclean, VA

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow ... Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow ... Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow ... Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ...

AWS Python Developer

Reston, VA · Hybrid

$52.25 - $72/hr

... PyTorch. Strong skills in programming languages such as Python, R, or Java, essential for ... (EVP) Will be working on the marketing website refresh Work Environment 3 days onsite in Reston or ...

Data Scientist

Mclean, VA

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow ... Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ...

AI Technical Product Manager

Washington, DC

$189K - $218K/yr

... PyTorch, Hugging Face, LangChain, Azure AI, OpenAI). Rapidly iterate on LLM-based applications ... Communicate technical strategy, risks, and business value clearly and effectively to executive ...

next page

Showing results 1-20

Executive Pytorch information

What is the difference between Executive Pytorch vs Machine Learning Engineer?

AspectExecutive PytorchMachine Learning Engineer
Required CredentialsAdvanced degrees in CS, AI, or related fields; experience with PytorchDegree in CS, Data Science, or related; proficiency in Pytorch
Work EnvironmentLeadership roles, strategic planning, overseeing AI projectsHands-on development, coding, model training
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, startups, research labs
Common Search & ComparisonOften compared for leadership vs technical roles in AITechnical implementation vs strategic oversight

Executive Pytorch roles focus on strategic leadership, project oversight, and high-level decision-making in AI projects, often requiring advanced degrees and experience. Machine Learning Engineers are more hands-on, involved in developing and deploying models using Pytorch. Both roles are vital in AI development but differ in responsibilities and work environment.

What are Executive PyTorch professionals?

Executive PyTorch professionals are leaders or decision-makers who oversee projects or teams that utilize PyTorch, an open-source machine learning framework. They are responsible for setting strategic direction, managing resources, and ensuring that machine learning initiatives align with organizational goals. These executives typically have a strong understanding of both business strategy and the technical capabilities of deep learning frameworks like PyTorch. Their role may involve collaborating with data scientists, engineers, and stakeholders to drive innovation and deliver value through AI solutions.

How does an Executive PyTorch professional typically collaborate with cross-functional teams to drive AI initiatives?

An Executive PyTorch professional often works closely with data scientists, machine learning engineers, product managers, and business stakeholders to align technical AI solutions with organizational goals. They may oversee the design and deployment of PyTorch-based models, ensure that project timelines are met, and facilitate knowledge sharing between technical and non-technical teams. Effective collaboration involves translating business needs into actionable machine learning projects and ensuring seamless integration of models into products or services. This role frequently requires balancing high-level strategic decisions with an understanding of the technical challenges faced by the team.

What are the key skills and qualifications needed to thrive as an Executive specializing in PyTorch, and why are they important?

To thrive as an Executive specializing in PyTorch, you need a deep understanding of machine learning, AI strategy, and business management, typically supported by advanced degrees in computer science or engineering and proven leadership experience. Familiarity with PyTorch, cloud computing platforms, and data management systems, as well as certifications in AI or project management, are often expected. Strong leadership, communication, and strategic vision are crucial soft skills that set successful executives apart. These skills and qualifications are vital for aligning technical capabilities with organizational goals and driving innovation and growth.
What are the most commonly searched types of Pytorch jobs in Washington? The most popular types of Pytorch jobs in Washington are:
What are popular job titles related to Executive Pytorch jobs in Washington? For Executive Pytorch jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Executive Pytorch jobs? Cities in Washington with the most Executive Pytorch job openings:
Senior AI Engineer with Security Clearance

Senior AI Engineer with Security Clearance

ECS

Falls Church, VA

$111K - $153K/yr

Other

Posted 15 days ago


Job description

Job Description Everforth ECS is seeking a Senior AI Engineer to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax . Please Note: This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP separates business and financial data from operational warfighting data, aiming to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts. The Senior AI Engineer serves as a senior-level AI architect and practitioner responsible for designing, building, and deploying advanced artificial intelligence capabilities that modernize WDP Core Integration's operational support functions across all classification tiers. This role leverages machine learning, natural language processing, and retrieval-augmented generation techniques to automate mission-critical workflows, accelerate request resolution, and strengthen WDP's AI-enabled user experience from the Pentagon to the tactical edge. • Designs and implements advanced artificial intelligence capabilities supporting War Data Platform (WDP) Core Integration modernization objectives by developing automated mechanisms that accelerate request intake, categorization, triage, and routing across Tier 0 through Tier 3 support channels for customers across NIPRNet, SIPRNet, and JWICS enclaves.
• Builds and deploys machine learning classification pipelines, natural language processing models, and retrieval-augmented generation components using platforms such as Python, PyTorch, TensorFlow, SageMaker, Amazon Comprehend, and Elasticsearch to identify intent, assign routing paths, and detect anomalous patterns within high-volume operational data streams.
• Integrates AI-driven chatbots, recommender engines, and knowledge discovery modules into the WDP Core Integration user experience to provide instant guidance, dynamic knowledge article suggestions, and automated resolution workflows aligned to Government-approved Standard Operating Procedures and mission readiness objectives.
• Conducts model evaluation using precision, recall, F1 scores, latency thresholds, and throughput benchmarks to validate operational suitability for Combatant Command, Service Headquarters, Joint Staff, and Senior Executive Service mission users.
• Produces deliverables including automation roadmaps, machine learning architecture diagrams, system interface specifications, AI-enabled workflow designs, performance dashboards, and modernization impact reports.
• Collaborates with platform engineers, cybersecurity teams, and mission leads to integrate AI enhancements into enterprise pipelines while reducing ticket resolution times, eliminating bottlenecks, and driving continuous improvement in user sentiment metrics, SLA compliance, and cross-enclave operational efficiency.
• Performs other duties as assigned. Required Skills • Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance.
• A minimum of 10 years of experience in artificial intelligence engineering, machine learning development, or a closely related discipline within a federal, defense, or enterprise technology environment, with demonstrated senior-level expertise designing and deploying production-grade AI/ML systems at scale.
• Hands-on proficiency developing and operationalizing machine learning classification pipelines, natural language processing models, and retrieval-augmented generation architectures using Python and one or more of the following frameworks and platforms: PyTorch, TensorFlow, SageMaker, Amazon Comprehend, or Elasticsearch, including experience deploying these capabilities into multi-enclave government or cloud environments.
• Demonstrated experience integrating AI-driven automation - including chatbots, recommender systems, and automated triage workflows - into enterprise operational support or data platform environments, with the ability to validate model performance using standard evaluation metrics such as precision, recall, F1 score, and latency benchmarks in support of production readiness requirements.
• Experience producing formal AI engineering deliverables including automation roadmaps, ML architecture diagrams, system interface specifications, and performance dashboards, with the ability to effectively communicate technical AI concepts and design decisions to program managers, platform engineers, cybersecurity teams, and senior government stakeholders.
• Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.
• Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management). Desired Skills • Active Top Secret (TS) security clearance.
• Experience developing and deploying AI/ML capabilities within classified multi-enclave environments spanning NIPRNet, SIPRNet, and JWICS, with familiarity navigating the accreditation, model governance, and data handling constraints associated with AI deployment across government-accredited security tiers.
• Familiarity with the DoW AI Ethical Principles, Responsible AI framework, and AI risk assessment processes supporting continuous Authorization to Operate (cATO), including experience implementing operational guardrails, model drift detection, and AI performance monitoring in support of enterprise AI governance requirements.
• Experience applying the AI Interoperability Integrator (AI3) approach or comparable multi-vendor AI integration methodology, including demonstrated ability to manage AI model lifecycle activities - development, testing, deployment, and sustainment - across a diverse ecosystem of commercial and government AI platforms and vendors.
• Background in Agile or DevSecOps delivery models, with demonstrated ability to integrate AI engineering activities into sprint cycles, CI/CD pipelines, and Program Increment planning events, contributing to rapid, iterative capability delivery aligned to evolving warfighter and enterprise mission requirements. Everforth ECS is seeking a Enterprise Support ISSE - Senior to work in Fairfax, Virginia. Please Note: This position is contingent upon contract award. ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven