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Keras Jobs (NOW HIRING)

Sr Software Engineer AI-ML

Irving, TX

$117K - $155K/yr

Expertise in PyTorch or TensorFlow, plus libraries like Scikit-learn, Keras, and Hugging Face. * Data Handling: Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools. * Generative AI LLMs:

Sr Software Engineer AI-ML

Irving, TX

$117K - $155K/yr

Expertise in PyTorch or TensorFlow, plus libraries like Scikit-learn, Keras, and Hugging Face. * Data Handling: Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools. * Generative AI & LLMs:

Engineer

Greenwich, NY · On-site

$85K - $91K/yr

Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras * Hands-On knowledge on NLP * Understanding of model deployment and containerization (Docker). * Understanding of ...

Engineer

Irving, TX · On-site

$90K - $100K/yr

Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras * Hands-On knowledge on NLP * Understanding of model deployment and containerization (Docker). * Understanding of ...

Engineer

Jersey City, NJ · On-site

$90K - $100K/yr

Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras * Hands-On knowledge on NLP * Understanding of model deployment and containerization (Docker). * Understanding of ...

Engineer II Premium

Phoenix, AZ

$82K - $110K/yr

... Keras, LangChain, NLP (NLTK, spaCy), pandas, Matplotlib - Vector databases (ChromaDB, FAISS, pgvector) - Cloud Deployment (AWS/GCP/Azure) - Docker - Git - AI/ML Skills: - Retrieval-Augmented ...

Experience with TensorFlow, Keras, and PyTorch. * Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim. * Multi-Modal Data and AI Tools: Experience with multi-modal data ...

iOS Engineer

Irving, TX · On-site

$80K - $100K/yr

Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras * Hands-On knowledge on NLP * Understanding of model deployment and containerization (Docker). * Understanding of ...

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Keras information

What are the key skills and qualifications needed to thrive in the Keras position, and why are they important?

To thrive as a deep learning engineer specializing in Keras, you need a strong background in machine learning, proficiency with Python, and experience designing and training neural network models. Familiarity with technical tools such as TensorFlow, Keras API, and cloud platforms like AWS or Google Cloud is expected, and certifications in data science or deep learning can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills are valued in this position. These competencies ensure you can develop robust AI models, collaborate efficiently with data teams, and deliver practical machine learning solutions.

What is a Keras job?

A Keras job typically involves working with the Keras deep learning framework to build, train, and optimize neural networks. Professionals in this role may develop machine learning models for tasks like image recognition, natural language processing, or predictive analytics. They often work with TensorFlow, preprocess data, tune hyperparameters, and deploy models into production. Strong skills in Python, deep learning concepts, and model evaluation are essential for success in a Keras-related role.

What are the typical responsibilities of a Keras deep learning engineer on a development team?

As a deep learning engineer working with Keras, you can expect to focus on designing, developing, training, and optimizing neural network models for a variety of applications, such as image recognition, natural language processing, or predictive analytics. Your daily activities may include experimenting with different model architectures, preprocessing data, tuning hyperparameters, and evaluating model performance. You will frequently collaborate with data scientists, software engineers, and product managers to align model objectives with project goals and ensure seamless integration into production systems. Additionally, you may be expected to stay up-to-date with the latest trends in deep learning and mentor junior team members. This hands-on, project-driven environment offers opportunities for continual learning and professional development.

More about Keras jobs
What are the most commonly searched types of Keras jobs? The most popular types of Keras jobs are:
What states have the most Keras jobs? States with the most job openings for Keras jobs include:
Machine Learning Engineer@ VA/ NYC

Machine Learning Engineer@ VA/ NYC

Palnar

Manhattan, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Info:
  • Looking for a Machine Learning Engineer with strong python, scala, AWS, Kubernetes & machine learning frameworks.
  • 80% of model Engineering work & 20% of operations work
  • Email arbitration with real time data processing.
  • Has model in Random forest model and moving to transformers soon in feature development.

Top Skills:
  • 5+ years of exp. in Machine Learning Engineer
  • Python exp. is a must.
  • Scala exp. is a must.
  • ML Frameworks (TensorFlow, PyTorch, Scikit-learn & Keras) exp. is a must.
  • AWS exp. is a must.
  • Kubernetes exp. is a must.
  • Experience with CI/CD