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Keras

Data Science, Analytics and AI/ML

Keras is a high-level, open-source neural network API written in Python that provides a user-friendly interface for building and training deep learning models. Originally created by François Chollet, it now serves as the primary high-level API for TensorFlow while also supporting other backends like JAX and PyTorch. Data scientists and machine learning engineers favor it for its simplicity in quickly prototyping models like CNNs and RNNs without writing extensive low-level code.

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Keras in the job market

Last checked September 14, 2026

Open roles
11

on Career App right now

Employers
8

hiring for it

Median pay

not enough disclosed

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of these roles

Open roles requiring Keras (11)

Data Scientist

Auto-Owners Insurance

Lansing, MI

This role involves building statistical and machine learning models to solve insurance business problems and improve decision-making across the company. It suits someone with a quantitative background and 2-4 years of professional modeling experience who wants to work collaboratively on high-impact analytics in a hybrid environment.

Listed on Auto-Owners Insurance’s careers site · Apply there ↗

AeroVironment

Machine Learning Engineer III

AeroVironment

Full-time · $129,500 – $197,500

This role develops computer vision and machine learning algorithms for defense and commercial applications, working on detection, classification, and tracking systems for autonomous platforms. It suits experienced machine learning engineers comfortable with both traditional ML pipelines and deep learning, who can bridge algorithm research with real-world deployment on embedded systems.

Listed on AeroVironment’s careers site · Apply there ↗

Sr Data Scientist

The Hershey Company

Dallas, TX

A senior data scientist role at Hershey's where you'll own end-to-end machine learning and optimization projects, developing production-ready models that directly influence consumer products and business strategy. This is for an experienced individual contributor who can translate business problems into rigorous scientific solutions while working across engineering, product, and business teams.

Listed on The Hershey Company’s careers site · Apply there ↗

AIエンジニア

Accenture

Full-time

This role develops AI-powered business transformation solutions for enterprise clients, combining artificial intelligence with industry expertise across the full software development lifecycle from requirements through operations. It suits engineers with system integration experience who want to work on large-scale projects using generative AI while building skills in modern cloud and data technologies.

Listed on Accenture’s careers site · Apply there ↗

Sr. Engineer, Machine Learning/Artificial Intelligence

Starz

Denver, CO · $150,000 – $180,000

STARZ is seeking a senior machine learning engineer to extract actionable insights from their streaming platform's operational data using advanced analytics, anomaly detection, and generative AI techniques. This role suits someone with deep experience applying ML models to large-scale telemetry and is positioned to shape how the company's engineering teams respond to data-driven signals.

Listed on Starz’s careers site · Apply there ↗

Staff System Software Engineer - Embedded AI & Algorithm

Ambarella

US Headquarters · $160,000 – $183,000

This role develops machine learning and computer vision algorithms for edge AI processors used in autonomous vehicles, surveillance cameras, and drones. It suits engineers with deep learning expertise who want to optimize neural networks for real-time performance on embedded devices.

Listed on Ambarella’s careers site · Apply there ↗

Senior Machine Learning (ML) Engineer (AI Insurtech)

Plug n Play Portfolio

Full-time · New York, NY · $190,000 – $225,000 · Remote

EvolutionIQ seeks a Senior Machine Learning Engineer to build production ML models for insurance claims, working on novel problems in time series forecasting and NLP with access to large structured and unstructured datasets. This role suits engineers who thrive on unsolved technical challenges and want to own the full lifecycle from data exploration through model deployment in a high-growth insurtech environment.

Listed on Plug n Play Portfolio’s careers site · Apply there ↗

Intuit

AI Scientist 2

Intuit

Atlanta, GA

An AI scientist position focused on developing and deploying machine learning models to power marketing and personalization features. This role suits someone with advanced training in a technical field who wants hands-on experience across the full ML lifecycle, from research through production, while collaborating closely with product and engineering teams.

Listed on Intuit’s careers site · Apply there ↗

Experienced Data Scientist

Auto-Owners Insurance

Full-time · Lansing, MI

This role leads the development and deployment of statistical and machine learning models to solve complex insurance business problems, requiring deep expertise in data science techniques and large-scale data handling. It suits experienced data scientists who want to mentor others and influence decision-making across a large organization.

Listed on Auto-Owners Insurance’s careers site · Apply there ↗

AIエンジニア_管理職

Accenture

This role involves designing and delivering AI-powered business transformation solutions for enterprise clients, spanning from initial requirements through system development, migration, and operations. It suits experienced systems engineers and architects who want to lead large-scale projects and mentor teams while working with cutting-edge generative AI technologies.

Listed on Accenture’s careers site · Apply there ↗

View all 11 on Jobs

Asked for alongside Keras

Measured from the 11 open roles that name Keras — not from a curated list.

Employers hiring for Keras

8 in total, most open roles first.

Related skills

Curated neighbors in the taxonomy, whether or not employers ask for them together.

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