Hire the best freelance Deep Learning Pipeline developers
Arc helps you find and hire top freelance Deep Learning Pipeline engineers for
your jobs. With 2,747 Deep Learning Pipeline 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 Deep Learning Pipeline developers and experts that you can trust.
Working in the IT sector for more than 10 years.
With over 10 -years of freelancing and professional experience taught me all kinds of frameworks and languages, ranging from React, Angular, Vue, Node js, Express js, React Native, Redux, Rx JS, JavaScript, Typescript, WordPress, PHP, MySQL, MongoDB, Firebase, Sqlite, Postgresql, ES5+, Python3, Machine Learning, DeepLearning, RNN, CNN, C/C#/C++, .Net, Assembly, VBA, VB, Excel Macro, Java, Spring Boot Micro-services, R, Shiny, STATA, MATLAB, Google Sheet, App Script, Bubble io, etc.
Over my long career, I have come across all kinds of challenges and gained vast experience with different kinds of industries like portals, medical industry, perception exercise, employee management, etc.
I have good experience with frontend development using React JS along with Typescript, Firebase, GraphQL, React Native, Native Script, React, Material UI, Ionic, Node.js, Web Sockets, and real-time communication.
I have also worked on containerization technologies like Kubernetes, Docker, AWS, GCP, Azure etc.
I am very good with backend technologies as well like Java Spring boot, microservices, MySQL, Postgres, Elasticsearch, AWS/Google integration.
Please contact me to get the result done in a professional way.
Im Data Scientist with research and optimization as current area of practice. Advanced
understanding of statistical, algebraic and other analytical techniques. Highly
organized, motivated and diligent with significant background in Computer Vision,
DeepLearning and NLP.
my name is ibikunle Samuel Software Engineer and I am excited to introduce myself to you. I have been passionate about this industry to work as dedicated AI Engineer with over three years of experience in developing and deploying AI applications, specializing in machine learning, deeplearning, and AWS services. Proven track record in delivering end-to-end AI solutions that enhance user experience and operational efficiency. Seeking a challenging role where I can leverage my expertise in AI and ML to contribute to innovative projects in a dynamic, forward-thinking environment.
for many years and have dedicated myself to continually learning and growing within this dynamic industry.
what excites me most about Organization position is the opportunity to work with forward thinking teams and contribute to innovative projects that a real impact.
I'm particularly to drawn to the collaborative environment and the chance to work with cutting edge technologies.
To top the three reason you should hire my proven track record of success. My strong analytical and problem skills and my dedication exceptional results.
I am available to start immediately upon hiring.
I am willing to work according to time zone in order to have good communication and team work. Thanks
Machine Learning Engineer with over five years of pexperience in applying advanced AI and machine learning models to solve complex business problems. I envision for scalable solutions by optimizing processes and enhancing decision‐making capabilities through fine‐tuning and deploying AI models. Proficient in neural network design, natural language processing, and deploying LLMs using stateof‐the‐art frameworks. Experience in leading cross‐functional teams and optimizing AI infrastructure.
Data scientist with 3+ years of experience in building Big Data intensive AI products, leveraging Python, R, SQL, PyTorch, and LLMs. Skilled in Data Warehousing, Kubernetes, AWS, adept at handling large datasets, streamlining ETL processes and Business Intelligence.
I am an experienced developer with a strong background in Artificial Intelligence and Data Science. At Wolters Kluwer, I optimized production-deployed Vision Encoder-Decoder and Layout Transformer models, developed an OpenCV-based Table Detection pipeline, and fine-tuned Transformer models for classification and entity recognition. I have contributed to open-source projects like PyTorch-Ignite, creating templates for Reinforcement Learning and enhancing CI/CD pipelines. My NLP experience includes developing a custom BERT architecture for Named Entity Recognition. My skills include Python, SQL, Git, Docker, PyTorch, Machine Learning, Image Processing, DeepLearning, and Natural Language Processing.
As a [B.Com](http://b.com/) graduate, I recognize the paramount significance of data in our rapidly evolving world. I am dedicated to honing my expertise in data science for a successful career. Exploring various techniques and tools in data analytics and predictive modeling, particularly to extract valuable insights from extensive datasets, excites me. With a solid business background and a fervent passion for data, I aim to empower organizations to flourish through informed, data-driven decision-making processes.
A versatile Data Professional with a 10+ tenure in various Fortune 500 industries, from Fast Moving Consumer Goods to Healthcare, specializing in Data Science, Machine Learning, Marketing & Business Analytics. Leveraging a strong analytical background and an exceptional grasp of statistics, my expertise lies in extracting meaningful insights from complex data sets and transforming them into actionable business strategies. Known for my ability to develop and implement predictive models and machine learning algorithms to solve challenging business problems, I thrive in high-stakes environments requiring strategic decision-making, meticulous data analysis, and effective cross-functional collaboration.
Experienced Machine Learning Engineer with a strong background in cloud technologies, deep neural networks, and computer vision. Skilled in Python and ML libraries like TensorFlow and PyTorch, with experience in AWS SageMaker and Agile environments. Demonstrated success in leading teams and implementing innovative AI/ML solutions in start-up settings. Excels in fast-paced environments, with a focus on problem-solving, adaptability, and cross-functional collaboration.
If you're looking for immediate online assistance from Deep Learning Pipeline experts, you can get Deep Learning Pipeline programming help within 6 minutes on Codementor.
Why choose Arc to hire freelance Deep Learning Pipeline developers
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Access “hidden gem” freelance Deep Learning Pipeline developers outside your local area.
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Hire a top freelance Deep Learning Pipeline developer easily
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Describe the Deep Learning Pipeline developer you're looking for.
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Receive vetted candidate profiles matching your engineering needs.
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 Deep Learning Pipeline 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 Deep Learning Pipeline developers can help keep your website up-to-date.
How do I hire Deep Learning Pipeline developers?
To hire a Deep Learning Pipeline 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 Deep Learning Pipeline developers effectively and efficiently. Hire full-time Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline developer for your company, and let Arc handle the logistics.
Where do I hire the best remote Deep Learning Pipeline developers?
There are two types of platforms you can hire Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline developers, consider niche platforms like Arc that naturally attract and carefully vet their Deep Learning Pipeline developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Deep Learning Pipeline developer candidates.
Some factors to consider when you hire Deep Learning Pipeline 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 Deep Learning Pipeline developers for hire.
How do I write a Deep Learning Pipeline developer job description?
Writing a good Deep Learning Pipeline developer job description is crucial in helping you hire Deep Learning Pipeline 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 Deep Learning Pipeline 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.
What skills should I look for in a Deep Learning Pipeline engineer?
The top five technical skills Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline developers to keep up with evolving technology and requirements.
What kinds of Deep Learning Pipeline programmers are available for hire through Arc?
You can find a variety of Deep Learning Pipeline developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Deep Learning Pipeline programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Deep Learning Pipeline developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Deep Learning Pipeline developers.
Every Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline developers, you can rest assured that all remote Deep Learning Pipeline 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 Deep Learning Pipeline developers on Arc?
Arc pre-screens all of our remote Deep Learning Pipeline developers before we present them to you. As such, all the remote Deep Learning Pipeline 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 Deep Learning Pipeline programmer in 72 hours, or find a full-time Deep Learning Pipeline 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.”
How much does a freelance Deep Learning Pipeline developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Deep Learning Pipeline developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline 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 Deep Learning Pipeline developers, check out our FAQs page.
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