Log in Post a Vacancy It’s free
Contact Us Post a Vacancy It’s free Log in

Huntly ● For Employers ● Hire Developers ● Hire AI ML Developers ● Hire Keras Developers

Hire Keras Developers

Keras, a high-level neural network API, plays a pivotal role in the field of Machine Learning (ML) and Artificial Intelligence (AI). As a user-friendly interface, it empowers developers to swiftly prototype and deploy deep learning models.

At Huntly, we connect you with top-tier Keras developers by leveraging our global network of recruiters. Post your vacancy now and get the first pre-vetted candidates within 72 hours!

Hire Now

Recommended Сandidates

Hire Now
​​Emily Liu Keras Developer A seasoned Keras developer with a background in computer science and passion for AI; excels in crafting robust neural network architectures tailored to diverse applications; her deep expertise in implementing cutting-edge algorithms and optimizing model performance ensures seamless integration of AI solutions into your projects.
7 years of experience
USA
Python, Keras, TensorFlow
Hire Now
​​Emily Liu Keras Developer A seasoned Keras developer with a background in computer science and passion for AI; excels in crafting robust neural network architectures tailored to diverse applications; her deep expertise in implementing cutting-edge algorithms and optimizing model performance ensures seamless integration of AI solutions into your projects.
7 years of experience
USA
Python, Keras, TensorFlow
Hire Now
Alex Rodriguez Keras Developer A proficient Keras developer with a deep understanding of Python and PyTorch; adept at designing and implementing complex deep-learning models for various applications; experienced in crafting custom architectures tailored to specific tasks and datasets; a keen eye for optimizing model performance.
12 years of experience
Europe
Python, Keras, PyTorch
Hire Now
Alex Rodriguez Keras Developer A proficient Keras developer with a deep understanding of Python and PyTorch; adept at designing and implementing complex deep-learning models for various applications; experienced in crafting custom architectures tailored to specific tasks and datasets; a keen eye for optimizing model performance.
12 years of experience
Europe
Python, Keras, PyTorch
Register to view

What Distinguishes the Keras Developer?

Keras developers stand out for several key attributes that include the following:

  • a deep understanding of neural network fundamentals enables them to design architectures that effectively address specific tasks;
  • proficiency in data preprocessing, model training, and evaluation ensures robust and reliable AI solutions;
  • versatility in deploying models across various platforms and frameworks facilitates seamless integration into existing systems;
  • the ability to leverage Keras's modular design fosters rapid prototyping and iteration, accelerating the development cycle;
  • adherence to best development practices ensures code readability and extensibility as well as its scalability and maintainability.

In essence, the Keras developer embodies a unique blend of technical expertise, creativity, and adaptability, making them indispensable in driving AI initiatives forward ‒ and at Huntly we help you hire Keras developers who possess the skills and vision to elevate your AI projects to new heights.

Hire Keras Developers with Huntly

Looking to hire Keras developers but concerned about recruitment costs? Traditional recruitment agencies often charge exorbitant fees, sometimes amounting to tens of thousands of dollars per hire. In contrast, Huntly offers rates that are often three times less than traditional agencies.

Because at Huntly, we believe in providing value for your investment! With our “you choose the fee” and pay-after-hiring policies, you can rest assured that you'll be properly charged only when you've successfully onboarded a candidate. By offering flexibility in determining the recruitment fee, it empowers you to make decisions that align with your budget and hiring needs.

And our comprehensive support extends throughout the hiring process, from the moment you log into your Employer account to the final selection you make on your end. Leveraging our 2-step pre-screening process, we ensure that you're presented only with the best candidates, saving you time and effort in the recruitment process.

How to Hire Keras Developers through Huntly

Post your vacancy on the platform
Set the price that fits your hiring budget
Hire the best specialist out of the pre-vetted candidates

What Needs is Huntly Best For?

Filling Specialized PositionsOur deep understanding of the tech industry allows us to identify and attract highly skilled Keras developers, even in a competitive market.
Optimizing Your ResourcesFree up your internal team to focus on core business activities while Huntly handles the time-consuming task of finding qualified candidates.
High Load RecruitmentWhen you need to expand your business in the short term, Huntly is your go-to solution. With thousands of professional recruiters and their global connections, we provide a quality candidate pipeline within days.
Recruitment has never been so safe
3-month guaranteefor candidate replacement.
Free candidate replacementif the candidate doesn’t pass the probation period.
Money back promiseaccording to our refund policies.

FAQ

What qualifications do Keras developers sourced by Huntly possess? Keras developers sourced by Huntly possess a strong background in machine learning, Python proficiency, and hands-on experience in developing and deploying neural network models using Keras.
How does Huntly ensure candidate quality? Huntly utilizes a rigorous pre-screening process, combining the precision of AI and personalized human touch to evaluate our candidates' skills and qualifications before presenting them to clients.
Can I negotiate the recruitment fee with Huntly? Yes, Huntly offers flexibility in determining the recruitment fee, allowing clients to negotiate terms that suit their budget and hiring requirements.
What are the benefits of using Keras? Keras is a popular deep-learning library known for its ease of use and flexibility. It allows developers to quickly prototype and build complex neural networks with minimal coding effort.
Your Ideal Developer is Just a Few Clicks Away!
Hire Now

Improve the Chances of Successful Keras Developer Hiring

Hiring the right Keras developer can significantly impact your deep learning projects. Here's how to optimize your hiring process for a successful outcome.

Craft a Clear Job Description

Before writing your job description (no matter if it’s for Keras, Python/JavaScript developers, or anything else), take a moment to consider the ideal candidate's profile. What specific skills and experiences are crucial for your project?

Here are some key elements to include in your Keras developer job description:

  1. Highlight Keras Expertise: Clearly state your requirement for Keras proficiency. Mention specific libraries or techniques (e.g., TensorFlow, custom callbacks) relevant to your project.
  2. Outline Project Scope: Describe the project's goals, data types, and expected outcomes; this helps attract candidates with relevant experience.
  3. Mention Desired Skills: List additional skills like machine learning fundamentals (data preprocessing, model evaluation), software development practices (version control, unit testing), and familiarity with cloud platforms (if applicable).

By crafting a clear and informative job description, you'll attract qualified candidates who understand your needs and are a good fit for the role.

Perform Skill Assessment

Once you have a pool of promising candidates, it's time to assess their Keras skills and overall deep learning aptitude. Here are some effective methods:

  1. Portfolio Review: Review the candidate's past projects involving Keras. Ask them to explain their approach, challenges faced, and solutions implemented. This reveals practical experience beyond theoretical knowledge.
  2. Technical Screening: Design a coding challenge that assesses the candidate's ability to build and train a Keras model relevant to your project domain. Utilize platforms like HackerRank or Codility for efficient evaluation.
  3. Live Coding Interview: Conduct a live coding session where the candidate demonstrates their Keras skills by building a simple model or tackling a debugging task. This assesses problem-solving abilities and real-time coding proficiency.

By employing a variety of assessment methods, you can gain a comprehensive picture of the candidate's Keras expertise and overall suitability for the role.

Evaluate Deep Learning Knowledge

While Keras proficiency is crucial, a strong foundation in deep learning principles is equally important. Here's what to look for:

  1. Understanding of Deep Learning Fundamentals: Assess the candidate's grasp of core concepts like neural networks, backpropagation, and activation functions. This ensures they can adapt to new frameworks beyond Keras.
  2. Problem-Solving Approach: Evaluate how the candidate approaches machine learning problems. Look for critical thinking skills, an iterative approach, and an understanding of potential biases in data.
  3. Communication and Collaboration: Assess the candidate's ability to explain technical concepts clearly and collaborate effectively with data scientists and engineers.

Going beyond technical skills in Keras ensures you hire someone who can think critically, solve problems creatively, and work seamlessly within your team.

Focus on Company Culture and Project Fit

Finding the right technical skills is only a part of the equation. A successful hire also requires a good cultural fit. Here's how to assess this:

  1. Discuss your company culture and expectations during the interview; ensure the candidate's values and work style align with your team.
  2. Ask project-specific questions that gauge the candidate's understanding of a project they are going to work on; this reveals their enthusiasm and potential fit for the role.
  3. Offer clarity and transparency by being honest about the project timeline, resources available, and the team structure to set the right expectations for both parties.

By focusing on company culture and project fit, you can create a situation where both the candidate and your team can thrive.

© 2023. Huntly.ai Inc. All rights reserved.