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Vetted Azure Machine Learning developer in India (UTC+6)
As a Generative AI Engineer, I am responsible for developing, designing, and maintaining cutting-edge AI-based systems to ensure smooth and engaging user experiences. My role involves creating and developing generative models that have the ability to generate new content, such as images, text, and audio, based on patterns. I work across client teams to develop and architect Generative AI solutions using machine learning and other AI technologies. Additionally, I participate in activities which includes refining and optimizing prompts to improve the outcome of Large Language Models (LLMs). I also evaluate and select appropriate AI tools and machine learning models for tasks, as well as build and train working versions of those models using Python and other open-source technologies.
Vetted Azure Machine Learning developer in India (UTC+6)
Highly skilled Senior DevOps Engineer with 10+ years of experience in building, deploying, and maintaining large-scale systems. Expertise in cloud infrastructure, automation, CI/CD pipelines, container orchestration, and data platforms like Databricks.
Vetted Azure Machine Learning developer in India (UTC+6)
■ Experienced Data Scientist with MTech. (Industrial Engineering & Operations Research) from IIT Bombay over 10 years of expertise in machine learning, data orchestration, and supply chain optimization. ■ Proven track record in diverse industries, including retail, manufacturing, and finance ■ Demonstrated success in forecasting, feature engineering, and data visualization. Adept at developing and implementing data-driven solutions to enhance operational efficiency and drive business growth. ■ Innovative approach to problem solving, backed by 3 John Deere approved intellectual properties.
Vetted Azure Machine Learning developer in India (UTC+6)
I am a Senior Consultant in Big Data and Data Science with expertise in Generative AI (LLMs), various programming languages, frameworks, databases, and software engineering skills. I have experience in developing chatbots, computer vision applications, analytics dashboards, and software engineering projects.
Vetted Azure Machine Learning developer in India (UTC+6)
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**.
Vetted Azure Machine Learning developer in India (UTC+6)
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.
Vetted Azure Machine Learning developer in India (UTC+6)
Artificial Intelligence engineer with experience in research and development as well as Product based industries. I have completed Masters in CAD-CAM Engineering. I have 5+ years of experience in AI technologies, Python, C#, Azure DevOps, Computer vision and NLP
Vetted Azure Machine Learning developer in India (UTC+6)
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.
Vetted Azure Machine Learning developer in India (UTC+6)
I am a seasoned IT professional with extensive expertise in Python and JavaScript development, proficiently delivering scalable and efficient solutions. My proficiency extends to DevOps practices, where I excel in automating deployment pipelines, ensuring seamless integration, and enhancing overall efficiency. Leveraging cloud technologies, I specialize in designing and implementing robust, scalable, and secure solutions on major cloud platforms. With a solid foundation in both development and DevOps, I bring a holistic approach to building and maintaining cutting-edge applications in cloud environments.
Vetted Azure Machine Learning developer in India (UTC+6)
15+ years of experience as a software developer and 9+ years of experience as a data scientist. Excellent expertise in Python programming, and ML frameworks such as TensorFlow, PyTorch, Pandas, Numpy, and MLOps platforms such as SageMaker. Analyzed audio data using LibROSA and Kaldi. Experience in the development of RAG models. Expertise in architecting, developing, productionizing, and scaling GenAI applications, Computer Vision models, and Recommender systems Experience with LangChain, vector databases, and similarity search
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Ready to hire your ideal Azure Machine Learning 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 Azure Machine Learning 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 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 Software 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 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 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 software 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 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 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.