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Arc helps you find and hire top freelance Azure ML engineers for your jobs. With 5,327 Azure ML 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 Azure ML developers and experts that you can trust.
Senior Freelance Azure ML Developer
A Full Stack developer who has a passion for programming and can contribute his knowledge of full stack web technologies towards providing technical solutions, building web applications, and increasing information security to ensure overall satisfaction of the company and it's customers.
Senior Freelance Azure ML Developer
I'm a fellow of ML/Data as a product applications. Besides all of the tools, I give much importance to business domain knowledge and data-driven mindset.
Senior Freelance Azure ML Developer
An enthusiastic Data Scientist with experience in Machine Learning, Natural Language Processing, Computer Vision, and Cloud Services. 6 years of work experience in Data Science, Site Reliability Engineering, and Web Development. I believe that data can create wonders !!!
Freelance Azure ML Developer
AI/ML Engineer at Calsoft with 2+ years of industry experience, where I leverage AI and ML to solve complex business problems and deliver high-quality solutions that drive value for clients. I have industry experience in building predictive models, developing end-to-end machine learning pipelines, and deploying ML and LLM applications using a range of tools and technologies, such as Rasa, Machine Learning, NLP, Deep Learning, Statistics, Product Analytics, MLOps, FastAPI, Flask Python, SQL, Tableau, AWS, and Generative AI.
Senior Freelance Azure ML Developer
With 9 years of seasoned expertise in fullstack development, 6 years focused on machine learning, and a strong foundation in DevOps, I offer a comprehensive skill set. From architecting sophisticated applications to orchestrating CI/CD pipelines and managing AWS infrastructure, I consistently deliver innovative solutions across the software development lifecycle.
Senior Freelance Azure ML Developer
Experienced in the field of AI/ML/CV/NLP and Full Stack with 9 years of experiences. Hands on experiences in data science and machine learning, including data analysis, data modeling, statistics, time series analysis & forecasting, data visualization, neural network, machine learning, NLP, object tracking, image processing, object detection, etc using Tensorflow, pytorch, keras and so on and full stack developement such as ReactJS, AngularJS, VueJS, ExpressJS, NodeJS, Laravel, Django, FastAPI, SQL, MongoDB, WordPress, Android, Flutter and so on.
Senior Azure ML Developer
Experienced AI/ML Engineer with over 5 years of full-stack AI/ML solution development, specializing in Large Language Models (LLM), Generative AI, and GPT. Proficient in integrating state-of-the-art research into practical AI architectures successfully implemented LLM and Generative AI products in media and entertainment sectors. My leadership skills are demonstrated through guiding a team of five in AI/ML innovations, fostering a culture of continuous learning and innovation § **END-TO-END AI/ML SOLUTIONS:** Demonstrated proficiency in full-stack AI/ML development, with a comprehensive background in **_LLM, Generative AI, Computer Vision, NLP, MLOps, and data engineering_,**leading to the delivery of robust AI products and actionable solutions for complex business challenges. § **STRATEGIC AI LEADERSHIP:** As a team leader and mentor, **guided AI/ML teams in developing and executing visionary AI** strategies aligned with company goals. This includes **managing vendor relations, heading project teams, and fostering a culture of continuous innovation and learning.** § **AI RESEARCH AND DEVELOPMENT_:_** Adapted cutting-edge research into practical applications, significantly **enhancing AI architectures for business use cases.** Notably authored **award-winning research** papers on digital governance and developed predictive models for e-governance, earning recognition in national reports. § **Diverse AI Framework Proficiency:** Showcased versatility across multiple AI platforms and tools, including **TensorFlow, PyTorch, FastAPI, and various cloud services**. This also encompasses the deployment of machine learning models, **leveraging Docker, Kubeflow, and MLflow, and optimizing infrastructure for scalability**.
Senior Freelance Azure ML Developer
I am a Senior software engineer with 7+ years experience building software products that are scalable, secure and resilient. I've built Machine Learning platforms from scratch and worked with large enterprises such as Inmobi (Asia's biggest Adtech company), Charles River Laboratories, AusNet Services, Forward Edge AI, Justdial (India's largest yellow pages company), IPsoft Research to reduce cost and improve performance. I am passionate about innovation powered by Machine learning. I love traveling and exploring deep blue seas. **I have taught total of 300 students in class room and online on Introduction to Python, Statistics, Machine Learning. Mentoring students in their Data science journey as a remote mentor for Thinkful Inc [New York]** **Technological skills:** - Languages: Python3, Java, Javascript, NodeJs - Frameworks: Apache Spark, Tensorflow, Google Dialogflow, FLASK, Kubernetes, Docker, Spring Boot MVC - Databases : Mysql, MongoDB - Cloud : Azure - AKS, Keyvault, VMSS, Blob, Azure Databricks, Azure Machine Learning Studio, Azure Batch AWS - EC2, EMR, S3, Lambda Datascience Specific packages : *pandas, numpy, matplotlib, scikit-learn, keras, scipy, jupyter notebook, Google colab* **Achievements:** - Google summer of code intern at Openstack - Favorite Datascience teacher award **References :** - [Teaching Portfolio] https://drive.google.com/file/d/1fDNuPgR3OXamJbc07AMxT6ITMO8ArqLA/view?usp=sharing - https://gist.github.com/manishanker/68a130fc00d8424656e4ce10d6147a0b I love working on solving some challenging problems. I am very passionate about teaching and mentoring others. I believe a lot in this quote: ```Give a man a fish, and you feed him for a day. Teach a man to fish, and you feed him for a lifetime.``` When I am not writing some code, I love to stay updated on recent advancements in Machine Learning. I love traveling and experiencing new cultures. I enjoy meeting people from different background and interacting with them and learning from them. This has enabled me to think in multi dimension and has ingrained me with a attitude of asking **why** to find more answer and always stay curious. I have done total 6 scuba dives in Thailand(1), Bali(4), Ibiza(1). I am always up for a healthy discussion on topics like travel, discovering yourself, learning from others.
Senior Freelance Azure ML Developer
7+ years of experience in machine learning in different industries i.e., IOT, hospitality, health care, telcos and retail. Working with multiple LLMs to classify the bank transactions and build RAG on top of it for recommendation, in Azure environment Quantization of Llama2-7b and used it for classify the documents. Integration of LLMs with Dataiku environment Worked on multiple chatbot frameworks at different capacities i.e. from building a framework to implementing chatbots in different industries using RASA, Bit Libre and others. Expertise in Cloud based OCRs like Azure Document Intelligence, Google Doc AI. Worked on Regression, LSTM based models for revenue growth in different industries and use LASSO optimization for feature selection. Designed and developed a customer engagement model to generate more traffic in the hospitality industry. Experience in developing chatbots in banking, hospitality and telecom sector. Enhanced a competitors analysis model that can adjust the adjust the pricing based on competitors' data, property location, walk-in customer base, occupancy available, amenities, rooms types, nearby attractions and various other features.
Remote Azure ML Developer
Designed and implemented a Retrieval-Augmented Generation RAG system using Amazon Bedrock, Pinecone, and LangChain, improving data retrieval and contextual AI response for industry documents Created a comprehensive solution for identity graph management and product recommendation using AWS services, including AWS Neptune, AWS Personalize, AWS S3, AWS Glue, AWS API Gateway, AWS Lambda, AWS SageMaker, and AWS CloudWatch Proficient Machine Learning Engineer with hands-on experience in implementing cutting-edge algorithms and optimizations to enhance model performance and inference speed Proven track record in automating industrial processes through deep learning techniques, achieving exceptional accuracy rates even in challenging environments Experienced in curating diverse datasets, fine-tuning models, and implementing MLOps practices to streamline data capture, analysis, and model deployment workflows Proficient in developing real-time microservices systems with low latency and high throughput, employing technologies like Redis, SQLite, Flask, Docker, EKS, and Kubernetes. Skilled in transforming Python stacks into multi-threaded C applications for deployment on embedded and x86-64 devices, demonstrating adaptability across different platforms and architectures Recognized for boosting model accuracy through optimization algorithms such as Quantization, Pruning & Sparsification, and Knowledge Distillation, utilizing tools like Nvidia Tao toolkit Skilled in debugging and troubleshooting critical issues, ensuring smooth CI/CD pipeline operations and high-quality software delivery Experienced in managing and orchestrating containerized applications using EKS and Kubernetes to ensure scalable and reliable machine learning deployments.
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Get startedIn 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 ML 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 Azure ML developers can help keep your website up-to-date.
To hire an Azure ML 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 ML developers effectively and efficiently. Hire full-time Azure ML 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 ML 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 Azure ML 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 ML developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Azure ML 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 Azure ML 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 ML developers, consider niche platforms like Arc that naturally attract and carefully vet their Azure ML developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Azure ML developer candidates.
Some factors to consider when you hire Azure ML 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 ML developers for hire.
Writing a good Azure ML developer job description is crucial in helping you hire Azure ML 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 Azure ML 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 ML programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Azure ML 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 Azure ML 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 ML developers to keep up with evolving technology and requirements.
You can find a variety of Azure ML 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 ML programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Azure ML 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 Azure ML 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 ML 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 ML developers.
Every Azure ML 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 Azure ML 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 Azure ML 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Azure ML 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 ML 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 ML developers, you can rest assured that all remote Azure ML 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 ML developers before we present them to you. As such, all the remote Azure ML 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 Azure ML programmer in 72 hours, or find a full-time Azure ML 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.”
Find out more about how Arc successfully helped our partners in hiring remote Azure ML developers.
Depending on the freelance developer job board you use, freelance remote Azure ML developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Azure ML 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 ML 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 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 Azure ML 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 ML developers, check out our FAQs page.
Arc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.