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Vetted Deep Learning Pipeline developer in the United States (UTC-4)
Experienced data engineer with extensive healthcare experience able to bridge the divide between IT and business operations to implement cutting edge solutions that deliver real value
Vetted Deep Learning Pipeline developer in the United States (UTC-5)
Data Engineer specialized in Azure cloud solutions with proven expertise in building scalable ETL/ELT pipelines. Expert in: 🔹 Azure Data Factory: Developed production-grade data pipelines integrating Data Lake, Databricks, and Azure SQL, with automated data quality validation and Teams notifications. 🔹 API Integration: Successfully implemented end-to-end data solutions connecting with major SaaS platforms (Zendesk, HubSpot) using both Azure Functions and Databricks, handling complex authentication and data transformation. 🔹 Azure SQL & Data Lake: Extensive experience in data warehouse implementation, query optimization, and managing large-scale data operations. Recent achievements include: \- Automated file processing system with smart deduplication \- Real-time API integration with multiple CRM platforms \- Robust data validation frameworks with automated alerts \- End-to-end ETL solutions using Python, Databricks, and Azure services ✅ Available to work in the U.S timezone ✅ Available for freelance projects ✅ Strong focus on documentation and knowledge transfer ✅ Track record of delivering projects on time Looking to help businesses streamline their data operations and unlock valuable insights through robust data engineering solutions.
Vetted Deep Learning Pipeline developer in Nigeria (UTC-4)
This is Samuel Software Engineer and lecturer, 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 and Saas business, specializing in machine learning, deep learning, with Next.js 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, NLP, Generativeai MLOPS and LLMOPS 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
Vetted Deep Learning Pipeline developer in the United States (UTC-5)
Howdy! I'm Rob and I solve problems. ✅ I am a startup founder and entrepreneur, career long startup technical leader (early employee at Twilio, Boxee and many others) and full stack developer with 15 years of Python, the last 7 of which in machine learning and artificial intelligence. My favorite problems are short term, high impact challenges that yield new valuable insight, automate the previously impossible or transform your customer's success. As a racing driver, I love bringing urgency and speed to all adventures on and off track. Skills and Experience: 🤖 Extensive production use of state-of-the-art large language models (LLMs) like GPT-4o/o1/o3-mini, Gemini Flash 2.0, DeepSeek R1, Llama 3, Claude 3.5 Sonnet/Opus, Mistral, and Qwen. 👷 Deployed AI projects with frameworks like LangChain, LlamaIndex, Claude Computer Use 🗿 Custom modeling using training, fine tuning, reinforcement learning, Hive, Scale, Databricks and more 🤹 Multi-agent solutions with Claude Computer Use, CrewAI, Agno, OpenAI Swarm and LangGraph 📡 Data collection and web scraping in adversarial conditions using Scrapy, AgentQL, BrowserBase, captcha solving, bot evasion 👀 Proven computer vision experience with OpenCV, YOLO, Stable Diffusion, Flux and more 💰 Driven significant reduction in token consumption, training and inference compute with fine tuning, quantization, Langtrace, Unsloth, OpenRouter, and NotDiamond 🎱 Discovering new insights with data visualization, matplotlib, SeaBorn, D3, billboard.js, 🚚 Delivering full stack production software with Python, Vue 3, JavaScript / TypeScript, Next.js, Nuxt.js, Tailwind, and more 📼 Production experience with Postgres, MySQL, Pinecone, LanceDB, MongoDB, BigQuery, DynamoDB, Firebase, Snowflake, or Clickhouse 📞 Deep experience in voice platforms Twilio, Vonage, AssemblyAI, ElevenLabs, and Gemini Realtime ☁ Deploy to AWS, GCP, Azure, DigitalOcean, Linode, or rack and stack your own gear Achievements: 🔔 Took Twilio's developer GTM from 13k developers to 1.7 million - Series A to ringing the bell at the NYSE 🏆 Transitioned Darpa Memex project Tellfinder with District Attorney of New York 🤑 CTO of first startup (BZ Results) acquired by ADP for $125M ⚾ Earned $3.9k with custom fantasy baseball bot Community: 🎤 Speaker at dozens of conferences internationally, US, UK, CA, France, Germany, Czech Republic, Spain, Ireland, Portugal, China, India 💻 Multiple hackathon winner and organizer like Music Hack Day, Game Hack Day, TechCrunch Disrupt, and more 🏁 Autocross and spec Miata driver, driver in first team to cross the United States in under 24 hours Let's prototype fast, iterate quickly and ship solutions now. What problem are you trying to solve?
Twilio
Deep Learning Pipeline developer in Canada (UTC-5)
Certified Machine Learning Engineer and Innovative Software Engineer with a strong background in highperformance computing (HPC), machine learning, and GPU acceleration. Extensive experience in kernel-mode software development, driver programming, and virtualization. Passionate about pushing technological boundaries and delivering scalable, efficient, and optimized AI solutions. Adept at collaborating with crossfunctional teams and leading development efforts to build best-in-class AI and GPU acceleration software Additionally, I have leveraged my skills in optimizing data strategies to enhance business operations at the Liquor Control Board of Ontario (LCBO) and contributed my expertise to the Inspectorate of Policing Division at the Ministry of finance ensuring the successful implementation of key initiatives.
Vetted Deep Learning Pipeline developer in the United States (UTC-7)
*****General profile***** Hello! ex-Amazon engineer here. I have 5+ yoe in fullstack development and 1.5 yoe in AI engineering (JS and Python) I have both worked at startups building products from the ground up and big tech building large-scale distributed systems. With my unique blend of fullstack and AI expertise, I'm confident I can bring your next product to success! *****Tutor profile***** As an ex-Amazon engineer, I came from a non-CS background and eventually broke into big tech. I have also conducted numerous interviews at Amazon, so I know the secret to cracking the coding interviews. With a solid coverage of DSA fundamentals and uniquely curated list of questions from past FAANG interviews, many of my students were able to land jobs at FAANG companies. So whether you are a student or a seasoned engineer, I'm happy to help you land your next dream school/job! I'm currently an independent AI researcher offering tutoring with a part-time capacity at a discounted rate! Therefore, this opportunity may not be long! *****Tech stacks***** Proficient in Python, JavaScript, React, Vue.js, MySQL, PostgreSQL, MongoDB, PyTorch, Scikit-Learn, AutoML,OpenAI, LLM, Langchain, RAG. Look forward to collaborating with you!
Vetted Deep Learning Pipeline developer in South Korea (UTC+9)
I am a Senior Data Engineer with experience in building SaaS with full stack, data orchestration services, reducing model creation time, and increasing data mart creation quantity. I have expertise in backend engineering, cloud data platforms and log data management.
Vetted Deep Learning Pipeline developer in the United States (UTC-5)
I am an experienced ML/AI/DL Engineer with a strong foundation in data analysis, machine learning, and predictive modeling, specializing in extracting insights from large, complex datasets using advanced tools like Python, Spark MLlib, and SQL. I have a passion for solving business problems through data-driven solutions, with expertise in NLP, deep learning, and model optimization. Looking ahead, my career aspirations involve further exploring AI-driven innovations and contributing to impactful projects, particularly in machine learning and AI applications, while advancing my skills in cloud technologies like AWS and Azure for scalable model deployment.
Vetted Deep Learning Pipeline developer in India (UTC+6)
Versatile Data Scientist distinguished for collaborative skills and a track record of independently delivering impactful results. I have experience in instance segmentation, object detection, clustering, OCR time series forecasting, post-processing forecast correction, retail analytics, regex, delivering well-documented, tested, and operable code. I have also worked with Turing on their LLM deliverables, curating high quality dataset for python coding practises. Efficient in collaborating and communicating new ideas and opinions.
Deep Learning Pipeline developer in Spain (UTC-6)
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, Deep Learning, RNN, CNN, Android Java/Kotlin, iOS Swift/SwiftUI, C/C#/C++, .Net, Assembly, VBA, VB, Excel Macro, Java, Spring Boot Micro-services, Zoho, Salesforce, Hubspot, 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.
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FAQs
Why hire a Deep Learning Pipeline 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 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.
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 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.
Where do I hire the best remote Deep Learning Pipeline developers?
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.
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 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.
What skills should I look for in a Deep Learning Pipeline developer?
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.
What kinds of Deep Learning Pipeline developers 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 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.
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. 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.
How does Arc vet a Deep Learning Pipeline developer's 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 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.
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 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.