Your trusted source for top remote Deep Learning Pipeline developers, engineers, expert programmers, freelancers, and consultants in Mexico — Perfect for startups and enterprises.
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Vetted Deep Learning Pipeline developer in Mexico (UTC-5)
I am a seasoned Senior Backend Software Engineer with a strong foundation in machine learning and blockchain, specializing in the design and development of high-performance backend systems. With several years of experience in architecting scalable full-stack platforms, I have consistently led product teams through every stage of the product lifecycle, from design and development to testing and deployment. I am highly proficient in utilizing CI/CD tools, databases, middleware’s, load balancers, API design, containers, and cloud platforms such as AWS, Google Cloud, and Azure. My expertise also includes AI development, particularly with large language models (LLMs) and retrieval-augmented generation (RAG). I am adept at building machine learning models from the ground up or applying transfer learning to tailor them to specific datasets, with a good experience using TensorFlow and PyTorch.
Vetted Deep Learning Pipeline developer in Mexico (UTC-6)
With over 5 years of AI/ML and Software Engineering experience, I specialize in delivering advanced AI solutions, including real-time, low-latency and scalable services. I have built ML systems that increased users efficiency by 50%. Passionate about driving AI innovation and providing impactful insights.
Vetted Deep Learning Pipeline developer in Mexico (UTC-6)
**Key words: Data science, Machine learning, Deep learning, Python, SQL, Data visualization, Cloud computing, Business analytics.** Hello dear colleague, my name is Orlando. I have been working with data for the last 5 years. In this period, I have been applying advanced data analytics and machine learning techniques to create innovative solutions, primarily in business and urban sector, using languages such as Python, SQL and recently a bit of Mojo. I consider myself passionate about technology and business. As a professional, my goal is to use my passion, soft and technical skills to create innovative and high-impact tech solutions.
Vetted Deep Learning Pipeline developer in Mexico (UTC-6)
Computer Vision and Deep Learning Engineer with five years of experience using Python and libraries such as OpenCV, PyTorch, and TensorFlow. Currently, I work on implementing prediction models for electronic board inspection in assembly lines, covering multiple applications such as component presence detection, OCR, colorimetry, and component polarity verification. All these functionalities operate under a single software solution, which I have also developed to be used globally across all assembly lines.
Deep Learning Pipeline developer in Mexico (UTC-6)
I hold a Bachelor's in Biomedical Engineering and a Master's in Bioengineering. My expertise lies in developing Deep Learning models for Computer Vision tasks, with proficiency in PyTorch and OpenCV.
Deep Learning Pipeline developer in Mexico (UTC-6)
I am a Ph.D. student in Computer Science with experience as a teaching assistant and online instructor. Skilled in Python, R, and C++, and have expertise in Deep Learning (DL) and AI, particularly with vision, medical image analysis, causality, explainable AI, and data visualization techniques and their applications.
Deep Learning Pipeline developer in Mexico (UTC-6)
I am an engineer in digital systems and robotics with experience in Python, C/C++, Bash/Shell, Azure, C# .NET, and embedded systems. I have worked on maintaining and supporting a legacy version of a real-time controller and conducting research and development on the current version. I have also conducted experiments using machine learning and deep learning techniques in Python and have experience with Azure functions and DevOps. I am a team player and believe in solving problems using technology for the benefit of the community.
Vetted Deep Learning Pipeline developer in Mexico (UTC-6)
Self-motivated, team player with strong organizational and interpersonal skills. Always looking to learn new skills, take on extra responsibilities, and grow professionally. Have worked in busy, pressurized environments where high standards are expected. My dedication and passion have been recognized with awards, praise, and special tasks.
Vetted Deep Learning Pipeline developer in Mexico (UTC-6)
I'm a Data Scientist/Machine Learning Engineer with a background in Mathematics, Computer Science, and Philosophy of Technology. Specialized in developing intelligent, autonomous systems and articulating end-to-end technological solutions. I specialize in implementing robust, safe and reliable AI automation workflows that process and analyze tabular, text, vision and audio data.
Vetted Deep Learning Pipeline developer in Mexico (UTC-6)
Hello! I'm Omar, and I design, build, and operate intelligence software for data-intensive companies worldwide. I solve high-value data-rich problems with custom, secure, cloud-based software systems that leverage machine learning and time series forecasting. No nonsense. No generic products. No in-house expertise required. Efficient. Effective. Execute. contact@mllabs.com
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Ready to hire your ideal Deep Learning Pipeline developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Deep Learning Pipeline developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 engineers, 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.
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 developers 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 450,000 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 developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Deep Learning Pipeline developers 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 developers.
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.
Writing a good Deep Learning Pipeline developer job description is crucial in helping you hire Deep Learning Pipeline developers 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.
For a comprehensive guide on how to write an attractive job description to help you hire Deep Learning Pipeline developers, read our Engineer Job Description Guide & Templates.
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 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.
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 developers, 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 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.
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. 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 developer 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.
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.
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 450,000 candidates. You can also expect to hire a freelance Deep Learning Pipeline developer in 72 hours, or find a full-time Deep Learning Pipeline developer 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 Deep Learning Pipeline developers.
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.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for 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.