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Executive Tensorflow Jobs (NOW HIRING)

$195 - $260/hr

... empower executive decision-making. Cross-Functional Collaboration: Collaborate with cross ... Learn, TensorFlow, PyTorch). Cloud & Big Data: Demonstrated experience operating within cloud ...

New

... executive decisions. Qualifications: * Master's degree or bachelors degree and equivalent ... Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. Soft Skills: Critical ...

Prepare technical documentation, presentations, and executive updates on AI initiatives and ... Hands-on experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Keras, and ...

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)

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)

Prepare technical documentation, presentations, and executive updates on AI initiatives and ... Hands-on experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Keras, and ...

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Executive Tensorflow information

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$26.5K

$93.6K

$184K

How much do executive tensorflow jobs pay per year?

As of Aug 21, 2026, the average yearly pay for executive tensorflow in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Tensorflow vs Data Scientist?

AspectExecutive TensorflowData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; certifications in TensorFlowDegree in Computer Science, Data Science, or related fields; certifications in data analysis and machine learning
Work EnvironmentLeadership roles in tech companies, overseeing AI projects, strategic planningHands-on data analysis, model development, data visualization in research or corporate settings
Employer & Industry UsageTech firms, AI startups, large enterprises implementing AI strategiesResearch institutions, tech companies, finance, healthcare, and retail sectors

Executive Tensorflow professionals focus on strategic leadership and overseeing AI initiatives, often requiring advanced degrees and certifications. Data Scientists are more involved in hands-on data analysis and model building. While both roles work with TensorFlow, their responsibilities and work environments differ significantly.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What cities are hiring for Executive Tensorflow jobs?

Cities with the most Executive Tensorflow job openings:

What are the most commonly searched types of Tensorflow jobs?

The most popular types of Tensorflow jobs are:

What states have the most Executive Tensorflow jobs?

States with the most job openings for Executive Tensorflow jobs include:

Infographic showing various Executive Tensorflow job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

$195 - $260/hr

Other

Medical, Life, Retirement, PTO

Posted 3 days ago

New


Job description

DCCA is a veteran-owned high-technology company specializing in providing information technology services to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer a strong, competitive compensation and benefits package. Visit our website at: www.dcca.com .

Data Scientist

CANDIDATES MUST HAVE AN ACTIVE TS/SCI w/ Poly

For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA’s successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters.

Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.

Key Tasks:

Advanced Analytics & Modeling:Design, develop, and validate predictive models, statistical algorithms, and machine learning models to solve complex federal business and operational challenges.

Data Processing & Pipeline Integration:Extract, clean, and analyze large volumes of structured and unstructured data from disparate sources using ETL tools and cloud-native data services (e.g., AWS Glue, Apache Kafka).

Anomaly Detection & Fraud Prevention:Implement advanced algorithms (such as Isolation Forests) to detect anomalies in large transactional or operational datasets, enhancing audit efficacy and risk mitigation.

Data Visualization & Reporting:Translate complex analytical findings into intuitive dashboards, reports, and interactive visualizations using tools like Amazon QuickSight, Tableau, or Power BI to empower executive decision-making.

Cross-Functional Collaboration:Collaborate with cross-functional Agile teams, subject matter experts, and AI/ML engineers to seamlessly integrate data science models into production applications and microservices.

Security & Data Governance:Ensure all data handling and model deployments strictly adhere to federal data privacy regulations, HIPAA, the Privacy Act, and DoD/NIST security standards.

Continuous Improvement:Monitor model performance in production environments, retraining and tuning models as necessary to prevent drift and ensure sustained accuracy over time.

Required Skills:

Experience:Minimum of 5+ years of professional experience in data science, advanced analytics, or machine learning engineering.

Programming Languages:High proficiency in Python and R for data manipulation and modeling, as well as strong advanced SQL skills for complex database querying (e.g., PostgreSQL, Oracle).

Machine Learning Frameworks:Extensive hands-on experience with core ML and data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).

Cloud & Big Data:Demonstrated experience operating within cloud ecosystems (AWS GovCloud preferred) and utilizing big data technologies and data lakes (e.g., AWS S3, EMR, Redshift).

Clearance:TS/SCI w/Poly.

Desired Skills :

Prior experience supporting federal government agencies (e.g., Intelligence Community) with complex data analytics.

Familiarity with Natural Language Processing (NLP) and Edge AI applications.

Experience with DevSecOps practices, CI/CD pipelines, and version control (e.g., Git) for collaborative model development (MLOps).

Active industry certifications (e.g., AWS Certified Data Analytics, AWS Certified Machine Learning, or equivalent).

Education/Certifications:

Education:Bachelor’s or master’s degree in data science, Statistics, Applied Mathematics, Computer Science, or related quantitative discipline.

The proposed salary range for this position in Virginia is 195,000 to 260,000. Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.

At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we’re able to do through our consistent commitment to building culture and comprehensive benefits.

Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.

Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we’re here to help you grow your career and create lasting relationships.

Emphasis on Inclusivity: DCCA’s culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.

Empowering Health: DCCA’s benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page .

Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today’s IT problems.

Equal Opportunity Employer including Disability/Vets

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