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Vetted Deep Learning developer in the United States (UTC-6)
**Full-Stack Machine Learning Engineer** with 10+ years of experience delivering high-impact AI solutions for up to 10K concurrent users. I specialize in building end-to-end ML pipelines, automating SaaS infrastructures, and integrating advanced large language models (LLMs) such as GPT-3.5 and BGE using Python. My expertise in MLOps—including CI/CD, model monitoring, and prompt engineering—has driven measurable improvements (e.g., reducing operational overhead by 60% and boosting lead conversion by 30%). With proven skills in scalable backend development, LLM API integration, and data-driven predictive analytics, I excel at optimizing AI models for efficiency and accuracy. I’m passionate about leveraging cutting-edge AI tools to transform healthcare, digital marketing, and enterprise SaaS solutions.
Vetted Deep Learning 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
Vetted Deep Learning 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 developer in the United Kingdom
Machine Learning Engineer with over 4 years of experience, happy to work in different industries that might make use of AI tools. I am passionate about what I am doing and my career goal is to work on projects that really bring an impact on the world around us.
Vetted Deep Learning developer in Germany (UTC+1)
I am a Senior Backend Engineer at Tier Mobility SE based in Munich, Germany. Before moving to Berlin, I was an Assistant Tech Lead at Adacta Fintech based in Slovenia spearheading the development of insurance solutions for Europe-based companies such as the Sava and DVA Insurance while honing my skills as a full-stack engineer. Before plunging into software development, I was a Machine Learning Engineer at Zemanta, an Outbrain Company where my day-to-day work involved implementing and analyzing the real-time machine algorithms and integrating them with the bidder infrastructure. Before moving to Slovenia, I worked as a Product Engineer at Sprinklr, India where I was involved in implementing the machine learning module in the data flow execution pipeline using Kafka, Spark, and Spring frameworks.
Vetted Deep Learning 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 developer in Germany (UTC+1)
I am a versatile software engineer with extensive experience in audio, backend, and machine learning technologies. Venturing through the endless maze of tech possibilities, recklessly curious, I craft solutions using the right tools for the job.
Vetted Deep Learning developer in the Netherlands (UTC+1)
Chatbot Developer & Consultant (GPT4, ChatGPT, Rasa, DialogFlow, VoiceFlow, LandBot) ---------------------------------------------------------------- Hi, my name is Lena, and I help businesses solve problems using chatbots. I have over 6 years of experience building chatbots using Rasa, DialogFlow and GPT-4, offering consultations on chatbot development and conversation design, and also teaching people to build chatbots themselves, giving mentoring session and workshops. \==== What makes me different from other freelancers: ▣ I offer full-cycle chatbot development services, from a business idea to production. ▣ I am not just a full-stack developer. I have background in Natural Language Processing and Artificial Intelligence and I understand Machine Learning and the mechanisms behind how chatbots actually work. ▣ My first education is in Linguistics, which is very useful when it comes to designing dialogues and making them user friendly. ▣ I take business oriented approach and think about chatbots as a tool to solve a specific problem. I try to design chatbots with your business goals in mind and the problem you are trying to help your users solve. ▣ I believe that for any software project, including developing chatbots, it's very important to always keep users in mind. This means that I try to do user-research before the beginning of the project and validate my assumptions as soon as possible on real users. ▣ I value transparent and direct communication. ▣ I value your time and I value my time and I prefer to deliver results quickly rather than doing work for the sake of work. ▣ Based on the reviews, people think I'm a nice person to work with :) \==== Here are some ways I can help you: ▣ Getting started with your chatbot project. I can share with you my knowledge and expertise in the area of Chatbot Development, help you come up with a project plan, give you an overview of available chatbot tools that would best suit your project and will help you reach your business goals. ▣ Full-cycle chatbot development. I offer full-cycle chatbot development services, from start to finish. For chatbot development I use GPT-4, Rasa, DialogFlow, ManyChat, Landbot and VoiceFlow. For backend I use Python. For frontend I use JavaScript (TypeScript). ▣ Conversation design. I can both help you create conversation flows for your chatbot from scratch and review your existing conversation design and give you suggestions for improvement. ▣ Reviewing your existing chatbot. Ican give up tips both on how to improve your implementation (why your Machine Learning doesn't deliver results) as well as your conversation design (why users don't enjoy talking with your chatbot). ▣ Education. If you'd like to become a better chatbot developer yourself or are looking for a mentor to improve your current skills, I can help you. ▣ Chatbot widget. If you just looking a chatbot widget for the website, I can share with you my code so that you don't have to build it from scratch. \==== Tech Stack: ▣ Programming Languages: Python ▣ Chatbots: DialogFlow, Rasa, ManyChat, GPT3 ▣ Database: MYSQL, Postgres, MongoDB, BigQuery ▣ Machine Learning: Scikit-Learn, Tensorflow ▣ NLP: NLTK, Gensim, SpaCy, FastText, word2vec, MUSE ▣ Crawling: Scrapy, Beautiful Soup, LXML ▣ Web: Flask, HTML, CSS, JavaScript ▣ Generative AI: ChatGPT, GPT-3.5, GPT-4 ==== Some of my chatbot development projects: ▣ Business Assistant Chatbot (GPT3, DialogFlow) ▣ Property Management Chatbot (Rasa) ▣ Language Leaning Chatbot (Rasa) ▣ Financial Assistant Chatbot (DialogFlow) ▣ Health Coach Chatbot (DialogFlow) ▣ Chatbot-Recruiter (ManyChat) ▣ Voice Auto Attendant Chatbot (DialogFlow) \==== If this all sounds interesting, feel free to get in touch and we can schedule a free discovery call!
Vetted Deep Learning developer in the United States (UTC-4)
My summary is as follows: \- 7 years in team management including 5-70 members of teams including top-level managers \- Excellent track record of bridging the gap between technical teams & executives and the ability to translate business initiatives into technical requirements. \- 6 years as a Professional Data scientist including senior level, team lead, and chief data scientist \- 5 years of consultancy to provide visibility and insights into key business issues. \- 6 years in Business Analytic Projects (customer journey, customer target selection, online pricing, target selection, recommendation engine). \- 5 years of experience with Extract Intelligence from Data using Data Preprocessing, EDA (Explorative Data Analysis) \- 7 years of deep theoretical and practical knowledge of Machine Learning (ML) Algorithms \- 12 years of Solid Experience in Computer Vision (CV) (object detection, Background / Foreground Subtraction, Object verification, Counting objects). \- 11 years in Research and Development (R&D) including e-commerce, defense, finance, and telecommunication industry. \- 10 years in Software Programming as a Professional developing algorithm (C, C++, Python, MATLAB) \- 6 years of experience in Deep Learning (DL) using FRCNN, InceptionV3, and CNN mask architecture for Computer vision projects. \- 3 years of Sequential Modelling using DL based approach (LSTM, GRU), Statistical Approach (Arima, Sarima), and Graph-Based approach (Markov chain, finite state space modeling) for (NLP, sales forecasting) \- 4 years in Time serial analysis from data processing (lead, lag insertion using auto-correlation analysis) to developing models (with evaluation by comparing persistence model, moving average model, and Gaussian smoothing) \- 6 years of fluent Tensor Flow, Keras, pandas, and scikit-learn experience \- 4 years of experience in Agile development methodologies with emphasis on Scrum. \- 1-year experience in Reinforcement Learning using DQN (Deep Q Network), cross-entropy method with MLP \- 3 years in Machine Learning (ML) applications for Wireless Communications: Signal Detection, Channel Estimation, Channel Encoding-Decoding, and Resource Allocation. \- 4 years in Big Data, Cloud Computing, and NoSQL Databases \- Excellent record of accomplishment in defining, designing, developing, and implementing phenomenally successful automated and deployed solutions. \- Strong interpersonal, written, and verbal communicator who can deliver effective presentations and maintain collaborative relationships. Muhammet Pakyurek +1(319)259-3907 mpak85@hotmail.com
Vetted Deep Learning developer in the United Kingdom
Data Scientist with 8+ years of experience developing data-driven solutions, specialized in Computer Vision, Machine Learning, NLP and Robotics. Strong background in supervised and unsupervised learning, algorithm design, and proficient in programming.
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FAQs
Why hire a Deep Learning 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 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 developers can help keep your website up-to-date.
How do I hire Deep Learning developers?
To hire a Deep Learning 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 developers effectively and efficiently. Hire full-time Deep Learning 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 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 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 developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Deep Learning developers?
There are two types of platforms you can hire Deep Learning 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 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 developers, consider niche platforms like Arc that naturally attract and carefully vet their Deep Learning developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Deep Learning developers.
Some factors to consider when you hire Deep Learning 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 developers for hire.
How do I write a Deep Learning developer job description?
Writing a good Deep Learning developer job description is crucial in helping you hire Deep Learning 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 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 developers, read our Software Engineer Job Description Guide & Templates.
What skills should I look for in a Deep Learning developer?
The top five technical skills Deep Learning 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 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 developers to keep up with evolving technology and requirements.
What kinds of Deep Learning developers are available for hire through Arc?
You can find a variety of Deep Learning 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 developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Deep Learning 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 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 developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Deep Learning 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 developers.
Every Deep Learning 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 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 developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Deep Learning 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 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 developers, you can rest assured that all remote Deep Learning 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 developers on Arc?
Arc pre-screens all of our remote Deep Learning developers before we present them to you. As such, all the remote Deep Learning 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 developer in 72 hours, or find a full-time Deep Learning 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 developers.
How much does a freelance Deep Learning developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Deep Learning developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Deep Learning 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 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 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 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 developers, check out our FAQs page.