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Tensorflow Pytorch Jobs in Washington (NOW HIRING)

Azulo LLC

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AI/ML Engineer / Data Scientist

Washington, DC · On-site

Bachelor's degree in Data Science, Computer Science, or related field (Master's preferred). * 3+ years with Python, ML frameworks (TensorFlow, PyTorch, scikit‐learn), and cloud platforms (Azure or ...

VTG

Data Scientist

Chantilly, VA · On-site

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

Azulo LLC

Be Seen First

AI/ML Engineer / Data Scientist

Washington, DC · On-site

Bachelor's degree in Data Science, Computer Science, or related field (Master's preferred). * 3+ years with Python, ML frameworks (TensorFlow, PyTorch, scikit‐learn), and cloud platforms (Azure or ...

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Tensorflow Pytorch information

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

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Washington? For Tensorflow Pytorch jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Washington look for? The top searched job categories for Tensorflow Pytorch jobs in Washington are:
What cities in Washington are hiring for Tensorflow Pytorch jobs? Cities in Washington with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you

Python AI/ML Protype Developer - Senior - FULLY CLEARED with POLYGRAPH REQUIRED

Constellation Technologies, Inc

Annapolis, MD • On-site

$175K - $212K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Python (i.e. SciKit-learn, TensorFlow, PyTorch), R, GIT and experience with Jupyter Notebooks.
Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.
Required:
  • Must be a US Citizen.
  • Must have TS/SCI clearance w/ active polygraph.
  • At least eight (08) years of direct/relevant experience.
  • Bachelor's degree in computer science or related discipline from an accredited college or university is required.
  • Four (04) years of additional relevant experience on projects with similar processes may be substituted for a bachelor's degree.
  • Collaborate closely with customers to enable acceleration to evaluate and tune machine learning models ability to integrate, reference, make inferences and consolidate data into a holistic view.
  • Creatively write and evolve prototype techniques leveraging diverse architecture and methods.
  • Provide database administration, dataflow engineering, data wrangling, and model development.
  • Proficiency with, but not limited to, Python (i.e. SciKit-learn, TensorFlow, PyTorch), R, GIT and experience with Jupyter Notebooks. Ability to provide database administration for relational databases and TensorFlow.

These Qualifications Would be Nice to Have:
  • Proficiency in augmenting, providing context, and/or fine-tuning large language models for generative tasks using approaches such as but not limited to , retrieval augmented generation (RAG) and model context protocol (MCP).

$175,000 - $212,000 a year
The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
The benefits package:
• Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA
• Comprehensive Dental insurance
• Vision with 80% employer paid premium
• Employer paid Life insurance 100%
• Employer paid Short-term and Long-term disability 100%
• Annual training, continued education, and professional memberships reimbursement
• Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation
• Annual reimbursement for technology i.e. phones, computers, printers, etc.
• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment)
The environment and perks:
• Professional development investment and paid time off for training
• Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii.
• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers
• Leadership Team engagement and mentorship
• Performance Recognition Program
• Complimentary branded apparel
Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities.
Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000! Email [email protected] for more information.
Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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