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Vetted Azure Machine Learning developer in France (UTC+2)
As the CTO of an AI startup, I harness my deep expertise in AI, software engineering, and data science to fuel innovation and drive transformative solutions. I’m passionate about tackling complex challenges, taking calculated risks, and constantly pushing the boundaries of what’s possible in technology. My entrepreneurial spirit drives me forward on a mission to build something truly extraordinary in the tech world, where cutting-edge ideas meet real-world impact.
Vetted Azure Machine Learning developer in Mexico (UTC-7)
Software Engineer with 12+ years of experience in software development, cloud infrastructure, and articial intelligence. Proven track record in building scalable applications using Django, React, and cloud-native architectures on Azure and AWS. Specialized in machine learning deployment, LLMs integration, and automation of cloud-based processes. Successfully improved business operations by optimizing workows and implementing AI-driven solutions. Adept at managing high-performance systems, API integrations, and secure cloud deployments
Vetted Azure Machine Learning developer in the United Arab Emirates (UTC+4)
Driven by a passion for technology and innovation, I bring over 9 years of experience in C# development and 8 years of expertise in Android development using Java and Kotlin. 7 years in Python development, 2 years flutter development and an year of experience in IOS development. Over the years, I've honed my skills to deliver high-quality solutions that meet the evolving needs of the industry. Specializing in machine learning and software development, I've spearheaded numerous projects that leverage cutting-edge technology to address real-world challenges and with multiple camera systems. Recent highlights include: Real-Time Clock-In System: Leveraging machine learning and multiple camera streams, I engineered an intuitive clock-in system for seamless employee attendance tracking. Facial Recognition for Threat Identification: Developed an AI-powered solution capable of identifying potential threats through real-time facial recognition. Gym Membership Management with Facial Recognition: Implemented facial recognition technology to revolutionize gym membership management, enhancing security and convenience for members. Vehicle Number Plate Recognition: Designed and deployed a system for automatic vehicle number plate recognition, utilizing advanced machine learning algorithms. Fence Jump Alert and Safety Construction: Spearheaded the creation of a safety system employing AI and multiple cameras to detect fence jumps and enhance construction site safety measures, including a safety module tailored for construction workers. With a proven track record of delivering impactful solutions, including those aimed at enhancing the safety of construction workers, I'm committed to pushing the boundaries of what's possible in software development and machine learning. Let's connect and explore how we can collaborate to drive innovation forward.
Vetted Azure Machine Learning developer in Brazil (UTC-3)
Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) I'm an experienced Senior Data Consultant. I work for large banks and have worked for steel retailers, cargo transport companies and plastic industries, developing projects in Data engineering, integration, architecture, Business intelligence, Data analysis and Machine learning, in both Cloud and on-premisses Big Data environments, having worked in all parts of the process, from data ingestion to final delivery, including sizing, provisioning and management of cloud resources I have had the opportunity to work on BI projects in sales intelligence, operational efficiency, supply chain, controllership and finance, market monitoring, Web Analytics of digital banking products and Open Finance. I also worked on an Azure Cloud implementation project in a large bank, where I participated in the construction of its Big Data environment focused on Machine Learning and BI projects, having worked from absolute scratch. I am currently working on a data integration project between an on-premisses Big Data environment and Salesforce in a large bank, using Spark to process large volumes of data, in the range of billions of records daily. Before working in tech, I worked in various business areas, and it helps me to overcome challenges and deliver greater value faster every day.
Remote Azure Machine Learning developer in the United States (UTC-4)
After having worked at Microsoft the Netherlands for 5 years (incl internship), I have relocated to Boston, Massachusetts for my wife's work. Therefore I am looking for a new, exciting challenge in the USA. I think I can deliver deeply technical products to your organisation, given my combined deeply technical and customer experience.
Remote Azure Machine Learning developer in the United States (UTC-7)
Experienced Data Scientist (9+ years) specializing in NLP, transformer models, and customer lifecycle analysis. Skilled in developing and deploying Generative AI solutions, RAG pipelines, and predictive analytics that enhance business performance. Strong communicator with a proven track record of mentoring teams and collaborating across departments to implement AI-driven innovations. Adept at leveraging advanced ML, cloud technologies, and big data to solve complex business challenges in Agile/Scrum environments.
Remote Azure Machine Learning developer in Hungary (UTC+1)
Experienced and dedicated Data Scientist with a 9-year track record of driving data-driven success. Proficient in Data Science, Data Analysis, BI, and Data Visualization. Proven ability in both technical and managerial leadership, including effective collaboration with external partners. Committed to ongoing learning and staying current with emerging technologies and methodologies. Presently focused on data science, with a strong interest in applying these skills for process automation and optimization to create a more effective, scalable and sustainable way of working.
Remote Azure Machine Learning developer in the United States (UTC-4)
An experienced and results-driven AI/ML Engineer with over 5 years of proven success in building, scaling, and deploying cutting-edge Machine Learning and Generative AI solutions. Specializes in Large Language Model (LLM) agent development using LangChain, AutoGen, and CrewAI. Expertise in end-to-end ML pipeline development, from data ingestion to model serving. Proficient in classical ML algorithms including XGBoost, SVM, Random Forest, and Neural Networks Advanced Deep Learning practitioner with hands-on experience in TensorFlow, PyTorch, and Keras Strong command of Generative AI APIs such as OpenAI, Anthropic, Claude, and Gemini Developed and deployed Retrieval-Augmented Generation (RAG) pipelines using FAISS and Pinecone Built cloud-native AI systems on AWS, Azure, and GCP with strong emphasis on scalability and automation Adept in CI/CD automation using Docker, Kubernetes, GitHub Actions, and YAML pipelines Emphasis on Explainable AI (XAI) using tools such as SHAP, LIME, and Power BI Designed NLP solutions leveraging Azure LUIS, Custom Vision, OCR, and Microsoft Bot Framework Architected multi-agent frameworks to drive autonomous orchestration and intelligent task handling Built intelligent LLM-powered chatbots that enhanced internal operational workflows Hands-on experience with relational and NoSQL databases including SQL, Cassandra, PostgreSQL, and Oracle Delivered dynamic data visualization dashboards using Tableau, Power BI, and Seaborn Experienced in Big Data ecosystems including Hadoop, MapReduce, Hive, Spark, and Kafka
Remote Azure Machine Learning developer in Canada (UTC-7)
Versatile Software Engineer with strong experience developing and deploying AI/ML applications, focusing on cloud-native solutions and cybersecurity. Skilled in crafting scalable, highly available cloud architectures and implementing robust disaster-recovery strategies. Adept at bridging the gap between technical solutions and business objectives through close collaboration with customers, from requirements gathering to solution implementation. Equipped with a curious mind and an ability to rapidly learn, explore and apply new technologies to solve problems and create solutions. Armed with a Master’s in Computer Science from NJIT and certifications in Cloud Architecture, Security, CompTIA Security+ and Network+.
Remote Azure Machine Learning developer in the Netherlands (UTC+2)
I’m a versatile Cloud/DevOps Consultant with 8+ years of experience, I specialize in Cloud computing technologies, application modernization, migration, and managed services. I'm an expert in improving system performance, boosting efficiency, and lowering costs, with a particular focus on Managed Service Providers (MSPs). I have extensive experience delivering and supporting managed services, ensuring high reliability, security, and scalability for clients. Recently, I’ve also been focusing on app development to expand my skills and become a completely cross-functional DevOps engineer.
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Ready to hire your ideal Azure Machine Learning developers?
Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
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 an Azure Machine 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 Azure Machine Learning developers can help keep your website up-to-date.
To hire an Azure Machine 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 Azure Machine Learning developers effectively and efficiently. Hire full-time Azure Machine 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 Azure Machine 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 Azure Machine 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 Azure Machine Learning developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Azure Machine 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 Azure Machine 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 Azure Machine Learning developers, consider niche platforms like Arc that naturally attract and carefully vet their Azure Machine Learning developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Azure Machine Learning developers.
Some factors to consider when you hire Azure Machine 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 Azure Machine Learning developers for hire.
Writing a good Azure Machine Learning developer job description is crucial in helping you hire Azure Machine 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 Azure Machine 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 Azure Machine Learning developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Azure Machine 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 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 Azure Machine 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 Azure Machine Learning developers to keep up with evolving technology and requirements.
You can find a variety of Azure Machine 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 Azure Machine Learning developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Azure Machine 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Azure Machine Learning 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 Azure Machine 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 Azure Machine Learning developers.
Every Azure Machine 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 Azure Machine 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Azure Machine 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 Azure Machine 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 Azure Machine Learning developers, you can rest assured that all remote Azure Machine Learning 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 Azure Machine Learning developers before we present them to you. As such, all the remote Azure Machine 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 Azure Machine Learning developer in 72 hours, or find a full-time Azure Machine 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 Azure Machine Learning developers.
Depending on the freelance developer job board you use, freelance remote Azure Machine Learning developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Azure Machine 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 Azure Machine 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.
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 Azure Machine 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 Azure Machine Learning developers, check out our FAQs page.