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Keras Remote Jobs (NOW HIRING)

Peraton

Al/ML Engineer (SME)

$104K - $166K/yr

This position is remote and requires an active Secret clearance. * AI/ML Engineer. Responsible for ... PyTorch/TensorFlow/Keras, Hugging Face transformers, LangChain, RAG toolkits, FAISS/Pinecone ...

HiddenLayer

AI Red Teamer

OR · On-site +1

United States - Fully Remote ABOUT THE ROLE: As an AI Red Teamer at HiddenLayer, you will play a ... PyTorch, or Keras. WHY HIDDENLAYER? We're moving at (what feels like) the speed of light.

Sunergi Inc

$110K - $140K/yr

A solid understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch is highly desirable, as is an ability to deploy solutions based on these platforms. * Leveraging GPU & CPU ...

Zantech

RPA/ML Solutions Architect (Remote)

Camp Springs, MD · Remote

$64.50 - $85/hr

TensorFlow, PyTorch, Keras * Proficient: AWS SageMaker, Comprehend, Textract * Programming: Python (expert), VB.NET, C#, PowerShell Preferred Experience or Knowledge of the following technologies ...

ArcSpan Media

Director/VP, Data Product

Manhattan, NY · On-site +1

$255.50K - $267.60K/yr

Proficiency in Python/R, NumPy, Plotly, TensorFlow, Sci-Kit Learn, Keras. * Experience in SQL ... This is a hybrid position - partially remote and partially working out of our HQ in New York City.

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How much do keras remote jobs pay per year?

As of Jun 1, 2026, the average yearly pay for keras remote in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Keras Remote Engineer, and why are they important?

To thrive as a Keras Remote Engineer, a strong background in deep learning, Python programming, and experience with neural network architectures is essential, typically supported by a degree in computer science or a related field. Familiarity with Keras, TensorFlow, cloud computing platforms, and version control systems like Git is commonly required. Excellent problem-solving, self-motivation, and effective remote communication skills help individuals excel when working independently or as part of distributed teams. These competencies ensure high-quality model development, efficient collaboration, and successful project delivery in remote AI environments.

How does a Keras Remote role typically collaborate with data scientists and other team members to deliver machine learning solutions?

In a Keras Remote role, collaboration with data scientists, engineers, and stakeholders is often achieved through regular virtual meetings, shared documentation, and project management tools. You’ll work closely with data scientists to translate business requirements into machine learning models, iteratively train and refine models using Keras, and integrate feedback from team members. Effective communication and proactive updates are key, as remote environments rely on clear documentation and code reviews to ensure alignment. This structure fosters both independence and teamwork, allowing you to contribute meaningfully to project outcomes while leveraging the expertise of a distributed team.

What are Keras Remote jobs?

Keras Remote jobs are positions that involve working with Keras, a popular open-source deep learning library for Python, from a location outside of a traditional office setting. These roles may include developing machine learning models, building AI applications, or contributing to research, all while collaborating with teams remotely. Such positions are ideal for professionals with expertise in deep learning, Python programming, and remote work practices. Employers may seek candidates who can independently manage projects, communicate effectively online, and stay updated with the latest advancements in machine learning.

What is the difference between Keras Remote vs Data Scientist?

AspectKeras RemoteData Scientist
Required credentialsKnowledge of machine learning, Python, deep learning frameworksDegree in data science, statistics, or related field; Python, R, SQL skills
Work environmentRemote, often project-based, tech companies or startupsRemote or on-site, research labs, tech firms, or finance
Industry usageAI development, machine learning projectsData analysis, predictive modeling, business insights
Search intentRemote AI/ML roles using KerasData analysis and modeling roles

While Keras Remote focuses on machine learning model deployment and development remotely, Data Scientists work on analyzing data, building predictive models, and deriving insights, often with overlapping skills but different primary responsibilities. Both roles may work remotely and require programming skills, but their core functions differ in scope and industry focus.

What cities are hiring for Keras Remote jobs? Cities with the most Keras Remote job openings:
What are the most commonly searched types of Keras jobs? The most popular types of Keras jobs are:
What states have the most Keras Remote jobs? States with the most job openings for Keras Remote jobs include:
Keras Remote jobs near you
Al/ML Engineer (SME)

Al/ML Engineer (SME)

Peraton

Remote

$104K - $166K/yr

Full-time

Posted 21 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

37th of 203 rated it services

Job description

Responsibilities
Peraton is seeking an AI/ML Engineer (SME) to support the MODES III program supporting Military Community and Family Policy (MC&FP). In this role, the selected candidate will be responsible for architecting, developing, and integrating AI and machine learning capabilities into MODES III application development efforts to enhance functionality, automation, and mission outcomes. This position is remote and requires an active Secret clearance.
JOB DESCRIPTION
  • AI/ML Engineer. Responsible for architecting, developing, and integrating AI and machine learning capabilities into MODES III application development efforts to enhance functionality, automation, and mission outcomes.
  • Leads design and development of AI/ML-enabled application features supporting MODES III application development activities.
  • Applies machine learning, natural language processing, or automation techniques to enhance application functionality, decision support, and user interaction.
  • Oversees integration of AI/ML components into application architectures, ensuring performance, scalability, and maintainability.
  • Establishes model development, training, validation, and deployment approaches aligned with Agile application development practices.
  • Collaborates with application developers, product owners, and DevSecOps teams to ensure AI/ML solutions align with functional requirements and release cycles.
  • Ensures AI/ML implementations adhere to Government security, data handling, and ethical use guidelines.
  • Provides technical leadership and subject matter expertise for AI/ML approaches used within application development efforts.
  • Familiar with: PyTorch/TensorFlow/Keras, Hugging Face transformers, LangChain, RAG toolkits, FAISS/Pinecone, SageMaker/Vertex AI, MLflow/Kubeflow, Terraform/CloudFormation, EKS/GPU EC2, Prometheus/Grafana, ELK/OpenSearch, AWS Lake Formation/Feature Store, QuickSight/Tableau, Secrets Manager/KMS, eMASS/RMF.

Qualifications
REQUIRED QUALIFICATIONS
  • Active Secret clearance required.
  • Experience / Education: 12 years of relevant experience with BS/BA degree or 10 years with a MS/MA or 8 years with PhD or 16 years w/o a degree or 14 years with AS/AA
  • Certifications: This role requires a demonstration of capability within the Cyberspace IT workforce. Successful applicants must satisfy Foundational Qualification standards via an approved industry certification (e.g., A+ or Network+) or documented equivalent military/educational training as defined in the DoD 8140 Qualification Matrix.

PREFERRED QUALIFICATIONS
  • Eligible for Top Secret/SCI clearance.
  • Experience with Agile/Scrum methodologies and iterative development practices.
  • Experience with machine learning model deployment, MLOps pipelines, or AI/ML frameworks in production environments.
  • CompTIA Security+

Worklocation: renote with ability to travel to the NCR if needed
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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