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Arc helps you find and hire top freelance Tensorflow extended (tfx) engineers for your jobs. With 591 Tensorflow extended (tfx) programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Tensorflow extended (tfx) developers and experts that you can trust.

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REDDY P, Tensorflow extended (tfx) developer for hire
REDDY P
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Remote Tensorflow extended (tfx) Developer

Machine Learning Researcher with a strong computer science background with overall 5+ years of experience in Building End-to-end Machine learning applications and Deep learning applications, solving challenging business problems in different industries with CRISP-DM. Experience in building full-stack data science life-cycle development projects; ramping up projects within time, budget & quality parameters, as per project management & best practice guidelines in Data Science, Machine Learning, and Deep Learning with an organization of high repute.

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Ashley M, freelance Tensorflow extended (tfx) developer
Ashley M
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Senior Freelance Tensorflow extended (tfx) Developer

I really enjoy helping people solve complex challenges with data and software. I am deeply experienced in modern ML frameworks and big-data tools, as well as the stats/math. I've worked with cloud environments like Azure for over 10 years and AWS for even longer. In addition to deep technical experience, I love teaching, mentoring, and empowering other people to progress their careers faster.

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Javier B, freelance Tensorflow extended (tfx) developer
Javier B
Spain
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Senior Freelance Tensorflow extended (tfx) Developer

PhD in Complex Systems and a researcher at the Universidad Politécnica de Madrid. In his career he has accumulated extensive experience in projects related to Data Science. He made a research stay at the MIT Media Lab where his research focused on transforming the data into insights and stories. During he is PhD he analyzed online social networks, developing models to understand influence. He has applied this research in the industry, helping companies to monitor sentiment on social networks, and deployed viral marketing campaigns. Over the last years he has made significant advances in the area of financial machine learning. As a result he has deployed solutions for algorithmic cryptocurrency trading and a platform used by coops that predicts the evolution of the prices of fruits and vegetables He is the founder of AGrowingData, a start-up that develops Big Data solutions for the agri-food sector.

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Kujtim R, freelance Tensorflow extended (tfx) developer
Kujtim R
North Macedonia
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Senior Freelance Tensorflow extended (tfx) Developer

Dr. Kujtim Rahmani is a versatile Data Scientist with extensive experience across startups, manufacturing, fintech, and education. He excels in computer vision, NLP, and OCR, developing innovative solutions in fire detection, object tracking, and financial data extraction. With a Ph.D. in Computer Science and a Master's in Informatics, Kujtim combines academic rigor with practical expertise. He's not only a leader in his field but also a mathematics champion, having participated in over 100 algorithmic and math competitions, showcasing his problem-solving prowess. Proficient in Python, C++, OpenCV, TensorFlow, and more, Kujtim's technical acumen is augmented by certifications as a Certified AI Practitioner and Microsoft Certified Azure Data Scientist Associate. Fluent in multiple languages, his communication skills and ability to tackle diverse challenges make him a valuable asset in driving impactful results.

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Abdul A, Tensorflow extended (tfx) developer for hire
Abdul A
Pakistan
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Senior Freelance Tensorflow extended (tfx) Developer

Hi there! I am a Software Engineer with a passion for solving real-world challenges using cutting-edge technologies. With over seven plus years of experience in machine learning (ML), natural language processing (NLP), and computer vision (CV), I've worked across diverse industries, crafting end-to-end solutions that drive tangible results. Tech Stack: ✔️ Deep Learning I am adept at using deep learning frameworks like TensorFlow, Keras and PyTorch for tabular, natural language and vision data. ✔️ Computer Vision I leverage an arsenal of powerful tools, including OpenCV, Faster RCNN variants, and all YOLO versions. ✔️ Natural Language Processing: I am proficient in NLP tools such as NLTK, spaCy, TextBlob and Hugging Face Transformers/LLMs. ✔️Text Mining I have honed my skills in text pre-processing, classification and clustering for applications such as Information Retrieval, Topic Modeling and Sentiment Analysis. Models I have worked with include Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF). ✔️ Machine Learning I have expertise in various ML techniques, including dimensionality reduction (PCA), classification (KNN, SVM, NB, DT, RF, GBM) and Deep Neural Networks. I am also skilled in Recency, Frequency, Monetary Value (RFM) Analysis using clustering (Hierarchical & K-Means), and Market Basket Analysis using Association Rule Mining. ✔️ Statistical Modeling I possess a strong grasp of Linear Regression, Logistic Regression, Multi-nominal Logistic Regression, and various regularization techniques like Ridge Regression and Lasso Regression. ✔️ Deployment Tools I have worked with a variety of deployment tools such as Flask, FastAPI, Gunicorn, Nginx, Docker, AWS/Azure services, and Apache HTTP. ✔️ Storage I'm well-versed in handling diverse storage systems like ELK, MongoDB, MySQL/SQL, and Elastic Search, ensuring your data is organized and accessible at all times. Let's embark on a transformative journey together, where your data meets the power of cutting-edge technologies. Get in touch with me, and let's take your project to new heights of success!

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Rodrigo B, freelance Tensorflow extended (tfx) programmer
Rodrigo B
Mexico
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Remote Tensorflow extended (tfx) Developer

Analytical consultant with 5+ years of experience in data analytics and engineering, generating high quality ETL, and implementing Machine Learning, Data Mining and Event Stream Processing algorithms. Strongly looking forward to grow in areas related to Computer Vision and Image Processing.

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Conor O, Tensorflow extended (tfx) developer for hire
Conor O
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Senior Freelance Tensorflow extended (tfx) Developer

Cybernetic Enthusiast, I post a bunch of tech ideas on my blog, gilgahex.com Also see my profile on consulting.gilgahex.com I started programming in raw hex as a kid with CheatEngine & Gameshark, at that time I had no idea I was actually manipulating memory addresses, it wasn't until I learned C++ in high-school that it all came together. That being said low-level systems like microcontrollers, IoT, cryptography, & embedded systems are very intuitive to me Since then I studied physics @ UCSB, worked in the aerospace industry doing industrial automation, process & SEM imaging automation for material science R&D. Then started a few biotech companies

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Pedro M, Tensorflow extended (tfx) developer for hire
Pedro M
Brazil
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Freelance Tensorflow extended (tfx) Developer

Computer Vision Engineer with 2 years of industry experience backed by 3 years of Academic Research experience. Top performer, and team player working in a small company with a focus on bringing state-of-the-art and recently published methods to production. My strengths include edge and mobile deployment and optimization of Deep Learning Models and customization of PyTorch models.

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FAQs

Why hire a Tensorflow extended (tfx) developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Tensorflow extended (tfx) developer, multiple developers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Tensorflow extended (tfx) developers can help keep your website up-to-date.

How do I hire Tensorflow extended (tfx) developers?

To hire a Tensorflow extended (tfx) developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Tensorflow extended (tfx) developers effectively and efficiently. Hire full-time Tensorflow extended (tfx) developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Tensorflow extended (tfx) engineers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Tensorflow extended (tfx) developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Tensorflow extended (tfx) developer for your company, and let Arc handle the logistics.

Where do I hire the best remote Tensorflow extended (tfx) developers?

There are two types of platforms you can hire Tensorflow extended (tfx) programmers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Tensorflow extended (tfx) developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Tensorflow extended (tfx) developers, consider niche platforms like Arc that naturally attract and carefully vet their Tensorflow extended (tfx) developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Tensorflow extended (tfx) developer candidates.

Some factors to consider when you hire Tensorflow extended (tfx) developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Tensorflow extended (tfx) developers for hire.

How do I write a Tensorflow extended (tfx) developer job description?

Writing a good Tensorflow extended (tfx) developer job description is crucial in helping you hire Tensorflow extended (tfx) programmers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Tensorflow extended (tfx) developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Tensorflow extended (tfx) programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Tensorflow extended (tfx) engineer?

The top five technical skills Tensorflow extended (tfx) developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Tensorflow extended (tfx) developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Tensorflow extended (tfx) developers to keep up with evolving technology and requirements.

What kinds of Tensorflow extended (tfx) programmers are available for hire through Arc?

You can find a variety of Tensorflow extended (tfx) developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Tensorflow extended (tfx) programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Tensorflow extended (tfx) developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Tensorflow extended (tfx) developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Tensorflow extended (tfx) developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Tensorflow extended (tfx) developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Tensorflow extended (tfx) developers.

Every Tensorflow extended (tfx) developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in Tensorflow extended (tfx) and breadth across the greater domain). Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Tensorflow extended (tfx) engineer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a developer’s Tensorflow extended (tfx) skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Tensorflow extended (tfx) developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Tensorflow extended (tfx) developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Tensorflow extended (tfx) developers, you can rest assured that all remote Tensorflow extended (tfx) developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Tensorflow extended (tfx) developers on Arc?

Arc pre-screens all of our remote Tensorflow extended (tfx) developers before we present them to you. As such, all the remote Tensorflow extended (tfx) developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 350,000 candidates. You can also expect to hire a freelance Tensorflow extended (tfx) programmer in 72 hours, or find a full-time Tensorflow extended (tfx) programmer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Tensorflow extended (tfx) developers.

How much does a freelance Tensorflow extended (tfx) developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Tensorflow extended (tfx) developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Tensorflow extended (tfx) developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Tensorflow extended (tfx) developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Tensorflow extended (tfx) developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Tensorflow extended (tfx) developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Tensorflow extended (tfx) developers, check out our FAQs page.

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