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Tensorflow Pytorch Jobs in Washington (NOW HIRING)

VTG

Data Scientist

Herndon, VA

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 ...

VTG

Data Scientist

Mclean, VA

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 ...

VTG

Data Scientist

Chantilly, VA

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 ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn. * Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are ...

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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.

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.

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 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

Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)

Akina, Inc.

Annapolis Junction, MD

$207K - $253K/yr

Full-time

Retirement, PTO

Posted 11 days ago

Job description

Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)

Clearance: TS/SCI - Polygraph required
Position ID: 25-8904-AIML2
Location: Annapolis Junction, Maryland

Description:

The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.

The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements.

The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.

The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.

Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance.

The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills.

Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.

  • Select appropriate data sets.
  • Perform statistical analysis.
  • Run machine learning algorithms.
  • Use results to improve models.
  • Train and retrain systems when needed.
  • Experience in working with various ML libraries and packages.
  • Run standard test and evaluation protocols.
  • Provide system integration oversight.
  • Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements.
  • Research and implement a broad range of AI and ML algorithms and tools.
  • Design or select appropriate data and knowledge representation methods.
  • Recognize software architecture, data modelling, and data structures.
  • Transform and convert data science prototypes into scalable solutions.
  • Verify data and model output quality.
  • Identify differences in data distribution that affect model performance.

Position Required Skills:

  • Standard AIML2 labor category requirements.
  • Experience with standard machine language frameworks, e.g. PyTorch, TensorFlow.

AIML2 Qualifications:

Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.

A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.

5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Salary Range: **$207k-$253k (Annually)

**The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.

Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.

Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

www.akina-inc.com/careers