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Vetted Machine Learning Research developer in the United States (UTC-7)
Strong technology leader with hands-on experience scaling ventures and scaling engineering functions in large fortune companies. I have a strong background in software design, backend programming, distirbuted systems, machine learning, model-training, AI Agent development, big data engineering, cloud computing, and I also pioneered test-driven DevOps.
PayPal
Vetted Machine Learning Research developer in the United States (UTC-4)
A humble **AI / ML engineer and scientist** with 6+ years of success in design, development, and successful launch of **client-focused** solutions on **cloud** platforms, including experience for a Fortune 500 company **Oracle**, with a proven track record of delivering high-performance Objective Key Results (OKR) and **Artificial Intelligence patents**. PhD reseracher with experience in the execution of development roadmap, securing **cross-functional** stakeholder **consensus**, while consistently driving revenue growth as well as time and cost savings. CAREER HIGHLIGHTS * Awarded for a high-speed delivery (2 years delivery with >75% performance on OKR metrics) of a scalable AI application on cloud * Enhanced online deep learning under imperfect time series data for simulated & real-life applications * Created intent focused follow-up questions for **RAG** pipeline of LLM based conversational product * Conducted **prompt engineering** and **fine-tuning** to improve output of a PyTorch based **large language model**
Oracle
Vetted Machine Learning Research developer in the United States (UTC-4)
AI/Machine Learning Engineer and Researcher with a demonstrated history of over 12 years in the field. Recognized for ability to build AI applications and research new methodologies using various deep learning and traditional ML technologies. Adept in managing teams and providing technical leadership. Looking to bring strong technical skills and passion for AI to a challenging new role.
Apple
Vetted Machine Learning Research developer in Italy (UTC+2)
A _**software engineer**_ with experience in areas ranging from scientific research to data science and web 3.0 development. An independent and adaptive professional who is passionate about learning, trying, and diving deeply into new, unfamiliar technologies. **Blockchain**, _NFT_, and _cryptocurrency_ enthusiast and investor. I'm proficient with **React, Django, JS, Python, Docker,** and much more. After just the first year of working I started to expand my responsibilities by not only coding with new frameworks, technologies and libraries adhering to all the best practices of the industry, but also _leading_ small teams as _scrum master_, teaching to others the things that I learn, _tutoring_ graduating students, working cross-team, delivering results to stakeholders, deploying full-functioning applications and much more.
Hitachi
Vetted Machine Learning Research developer in the United States (UTC-7)
* Engineer with varied experience in the development of AI weapons platforms, encompassing classification neural networks, regression neural networks, complex-valued neural networks, and synthetic data training/modification. * Machine learning experience primarily focuses on deep learning for real-time embedded radio frequency (RF) and infrared (IR) signal processing for both projectiles and stationary platforms - development experience is all Python with PyTorch and Tensorflow frameworks * Active Top Secret security clearance issued by the Department of Defense (DoD).
Vetted Machine Learning Research developer in the United States (UTC-6)
I am a Software research engineer, who most recently worked at [GrammaTech](https://www.grammatech.com/). I received my Bachelor’s degree in Computer Science in 2019 from the University of Wisconsin - La Crosse. My professional interests include a wide range of topics within computer science, ranging from microcontrollers and robotics to distributed computing and machine learning. I’ve been creating software since 2012, and love learning about new technologies and new ways of thinking about and writing code. In my spare time I enjoy working on electronics projects or my homelab, reading, and spending time with my family. I also consider myself something of an amateur herpetologist and enjoy keeping and talking to people about a wide variety of reptile species.
Vetted Machine Learning Research developer in the United States (UTC-5)
I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
Vetted Machine Learning Research developer in the United States (UTC-4)
I'm an applied researcher in machine learning and founder of a research institute where I teach related subjects to ML and build heavy ML powered products. chronological: Applied research endeavors have been around natural language processing and reinforcement learning. I have worked as head of machine learning at several startups with consumer facing products. Background in computer science with concentration in web and networking. Previously, I have built a online school and streaming service such as DraperTV, I have contributed to a dozen of python packages and ruby gems. I like working with teams that have diverse set of skills. Harder challenges are usually starting point for learning something new, which gets me excited about all sorts of topics to build or teach on.
Vetted Machine Learning Research developer in the United States (UTC-5)
With a B.S. in Math and a M.S in Computer Science, plus over 10 years experience at large and small research companies, at my heart I am a research engineer. I absolutely love to learn, to tackle big problems one piece at a time within an overall vision that builds on small successes but is always looking out for the 0-1 shift that unlocks a whole new world of opportunity. I have spent the past 3 years helping start a data team at one of the largest faith-based apps in the world (the YouVersion "Bible App"). It's been a great experience and gave me a chance to learn more about the business side of the organization. But in my heart I am a research engineer, so I'm looking forward to getting back into real technical research and development. I would be honored to have the chance to discuss how and where my skills and interests might align with real problems that your organization is trying to solve; particularly problems that involve end users and how we can make their world better.
Vetted Machine Learning Research developer in the United States (UTC-7)
I am an experienced software developer with 8+ years working in multiple disciplines including full-stack .net development, machine learning, and natural language processing. I worked on all components of enterprise SaaS applications, including creating front-end products, back-end servers and databases, as well as integrating multiple platforms and authentication systems. As an AI research engineer, I led design and development on an entity normalization pipeline, leading to >$2 million in increased revenue for the product. I have been a leader on multi-disciplinary, international teams and I am excited to use my leadership, design, and implementation skills in a new position.
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Why hire a Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers can help keep your website up-to-date.
How do I hire Machine Learning Research developers?
To hire a Machine Learning Research 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 Machine Learning Research developers effectively and efficiently. Hire full-time Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Machine Learning Research developers?
There are two types of platforms you can hire Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers, consider niche platforms like Arc that naturally attract and carefully vet their Machine Learning Research developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Machine Learning Research developers.
Some factors to consider when you hire Machine Learning Research 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 Machine Learning Research developers for hire.
How do I write a Machine Learning Research developer job description?
Writing a good Machine Learning Research developer job description is crucial in helping you hire Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers, read our Software Engineer Job Description Guide & Templates.
What skills should I look for in a Machine Learning Research developer?
The top five technical skills Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers to keep up with evolving technology and requirements.
What kinds of Machine Learning Research developers are available for hire through Arc?
You can find a variety of Machine Learning Research developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Machine Learning Research developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Machine Learning Research developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Machine Learning Research developers.
Every Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers, you can rest assured that all remote Machine Learning Research 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 Machine Learning Research developers on Arc?
Arc pre-screens all of our remote Machine Learning Research developers before we present them to you. As such, all the remote Machine Learning Research 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 Machine Learning Research developer in 72 hours, or find a full-time Machine Learning Research 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 Machine Learning Research developers.
How much does a freelance Machine Learning Research developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Machine Learning Research developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers, check out our FAQs page.