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162 Remote Ai workload management developers and experts available to hire:

Remote Ai workload management architect - Renato V.
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Renato V.

Vetted Ai workload management developer in Canada (UTC-3)

Harvard-certified Software Engineer with 9 years of experience leading teams and collaborating with clients to deliver innovative solutions. Proficient in multiple programming languages and rapid adaptation to emerging trends and technologies. Experienced in both corporate and startup environments with a track record of successful project deliveries.

Remote Ai workload management expert - Heriberto B.
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Heriberto B.

Vetted Ai workload management developer in Canada (UTC-3)

I am a Data Scientist with 6+ years of experience in AI/ML model development for various sectors. Skilled in statistical analysis, Python programming, and effective communication with stakeholders.

Remote Ai workload management architect - Varuna B.
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Varuna B.

Vetted Ai workload management developer in Canada (UTC-5)

There will always be a gap between technology and the real world. Smart products close this gap with innovation to create value for the users. I utilize incremental design, agile project management, test-driven development and clean code with continuous delivery to build successful products with rapid iterations, and bridge the gap between technology and business requirements. I have been working with Startups to Fortune 500 companies on products that have made their business more successful. I made sure they are left with maintainable products on the long run and add value to all stakeholders including end-user. Contact me with your project ideas, and I love to make them a success by working with you.

Remote Ai workload management consultant - David L.
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David L.

Vetted Ai workload management developer in Canada (UTC-4)

Full-stack Product Engineer building modern, production-ready apps for companies and myself. Over the past decade, I've worked as a freelance full-stack developer mostly with startups and small businesses. In 2020 I decided to deepen my business and product knowledge, to build outstanding products. As of now, I'm building production-ready products efficiently, and documenting my journey as a solopreneur product engineer. \## Why building in public? \- Following other people's journeys can teach you a lot. As well as you, I follow many other creators. \- Being active on social media and building in public allowed me to be part of a club that prioritizes shipping and giving value. \## What's here? Videos, tutorials, actionable tips & tricks about product engineering and solopreneurship. \## What I'm working on currently? 1\. Building indie products and documenting the process on Twitter & YouTube 2\. Helping companies with product engineering 3\. Mentoring developers to become solopreneurs 4\. Developing open-source dev tools \## I am available for: \- public speaking \- content collaboration \- mentoring \- consulting & product engineering \## Am I available for freelance work/employment/co-founding/gardening? Currently, I'm \*\*not\*\* available for employment-based work. However, \*\*I'm happy to help with consulting or full-stack product engineering\*\*. \*\*For consulting\*\*: I'm available maximum 3 days a week. My daily rate is $800. \*\*For product engineering\*\*: Minimum project engagement is $15,000 & 3 months. \### How do I decide about a project if it sounds exciting? I follow the \*\*"Hell yeah! or No"\*\* principle. \## Where am I? I'm a digital nomad, but I'm not traveling much these days. I'm currently spending my time in Toronto \--- More background & experience: \*\*My background as a Product Engineer:\*\* I design and develop business-goal oriented, user-centered digital products using battle-tested technologies. That's what I've been doing for 12 years so far. I also often experiment with new tech. \*\*My background as a Content Creator:\*\* I love sharing my experiences with others, so I make tutorials, share stuff on Twitter, and occasionally release a video. The main topics are engineering great products, and how not to die as a solopreneur. \*\*My background as an Entrepreneur:\*\* I've managed small & medium-sized product teams between 2018-2023 and ran a US-based international product agency with ~50 contractors. I managed and oversaw product engineering projects from sales to design & development, to marketing.

Ai workload management developers developer - David L.'s portfolio image
Remote Ai workload management consultant - João B.
João B.

Remote Ai workload management developer in Canada (UTC-6)

Experienced IT professional with over 10 years of expertise in software development, systems analysis, and IT project management across Brazil, Argentina, Japan, and Paraguay. Proficient in leading multicultural teams, implementing innovative technology solutions, and enhancing operational efficiency for global organizations.

Remote Ai workload management architect - Armel T.
Armel T.

Remote Ai workload management developer in Canada (UTC-4)

AI/ML/GenAI Leader driving innovation at the intersection of AI, Software Engineering, and Human-Centered Design, specializing in Conversational AI (NLP, LLMs, Conversation Design), Generative AI, and Cloud solutions. With a strong academic background (PhD in AI) and hands-on industry experience, I excel at transforming complex challenges into tangible business value (e.g., increase in virtual bot adoption, containment rate, customer engagement, and satisfaction). Delivery-focused AI Architect, I craft intelligent agents that leverage ML, Gen AI, RAG, and User-Product Alignment Research to deliver exceptional user experiences. Technical writer and reviewer with a passion for mentorship, I am constantly learning and giving back, whether creating versatile AI systems or guiding future generations. Certified Scrum Master, Google Cloud Machine Learning Engineer, and Oracle Cloud Generative AI Engineer, I am seeking a challenging role where I can combine my triple expertise in AI Engineering, Applied AI Research, and Mentoring to drive cutting-edge projects in ML and Gen AI.

Remote Ai workload management developer - Omar H.
Omar H.

Remote Ai workload management developer in Canada (UTC-5)

Generative AI artisan, with a background in financial services. Fluent in French, English, Arabic, and proficient in Python, I am currently exploring new career opportunities where I can integrate my diverse skills and innate curiosity. Passionate about the development and creation of AI applications: built NarrateNews, InQuire, Instructo and currently (re)building Stewee - a tiny music generation model.

Remote Ai workload management architect - Abheek G.
Abheek G.

Remote Ai workload management 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+.

Ai workload management developers developer - Abheek G.'s portfolio image
Ai workload management developers developer - Abheek G.'s portfolio image
Ai workload management developers developer - Abheek G.'s portfolio image
Remote Ai workload management consultant - Matt S.
Matt S.

Remote Ai workload management developer in Canada (UTC-4)

I am an accomplished and adaptable software engineer with more than 25 years of experience in full-stack development, reverse engineering, and API design. My skill set includes proficiency in C++, TypeScript, Python, and graphics programming, with an emphasis on developing efficient and scalable solutions to intricate technical issues. I have successfully built and optimized custom APIs, designed real-time rendering systems, and created advanced game engines utilizing Vulkan. My technical expertise is further enhanced by strong leadership, troubleshooting, and mentorship abilities, developed through various roles across multiple industries. In addition to my technical skills, I have a strong aptitude for integrating legacy systems with contemporary architectures, devising innovative solutions for distinct challenges, and managing projects from inception to completion. I am passionate about utilizing state-of-the-art technologies to achieve outstanding results while upholding a steadfast commitment to quality and performance. I thrive in dynamic and fast-paced settings and am actively seeking challenging opportunities where I can make significant contributions to impactful projects and collaborate with talented teams.

Remote Ai workload management expert - Shobhit P.
Shobhit P.

Remote Ai workload management developer in Canada (UTC-8)

𝐖𝐡𝐨 𝐚𝐦 𝐈? * Experienced engineering leader and technology enthusiast with over a decade of full-stack experience. * Specialized in the mobile ecosystem, successfully leading numerous full-stack teams and projects. * Shaped technical vision, strategy, and architecture for projects with over 10 million monthly active users. * Worked across diverse industries, including finance, education, real estate, and auctioning with roles like full-stack engineer, architect, team lead and engineering director. * Proficient in technology stacks, including native Android, native iOS, Flutter, React Native, Backend/API development, Firebase, and AWS Infrastructure Development. 𝐖𝐡𝐚𝐭'𝐬 𝐦𝐲 𝐩𝐚𝐬𝐬𝐢𝐨𝐧? * Dedicated to harnessing technology for a positive impact. * Top 2% contributor on Stack Overflow with over 610 Q&As, impacting over 3.4 million developers. * Multiple open-source projects on GitHub with over 70 stars. * Active involvement in course creation for mobile devs on popular platforms like [raywenderlich.com](http://raywenderlich.com/) and Droidcon Academy. * Mentorship through platforms like Upnotch and [ADPList.org](http://adplist.org/). * Volunteering with NGOs like Miracle Messages and the NYCH senior club, developing apps to support their causes. 𝐖𝐡𝐚𝐭 𝐈 𝐡𝐚𝐯𝐞 𝐭𝐨 𝐨𝐟𝐟𝐞𝐫? * A belief in the power of diverse professional backgrounds coming together. * Willingness to offer skills as a full-stack engineer or engineering leader for impactful ideas in any form or way. 𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐦𝐲 𝐛𝐞𝐥𝐢𝐞𝐟𝐬? I am not running behind money, prestige or fame. It's happiness what I crave. Guided by Chanakya's seven ingredients for happiness, emphasizing a healthy body, financial stability, a beloved partner, obedient children, a hospitable home, good company, and faithful friends.

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Why clients hire Ai workload management developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire an Ai workload management 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 an Ai workload management 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 Ai workload management developers can help keep your website up-to-date.

How do I hire Ai workload management developers?

To hire an Ai workload management 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 Ai workload management developers effectively and efficiently. Hire full-time Ai workload management 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 Ai workload management 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 Ai workload management 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 Ai workload management developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Ai workload management developers?

There are two types of platforms you can hire Ai workload management 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 Ai workload management 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 Ai workload management developers, consider niche platforms like Arc that naturally attract and carefully vet their Ai workload management developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Ai workload management developers.

Some factors to consider when you hire Ai workload management 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 Ai workload management developers for hire.

How do I write an Ai workload management developer job description?

Writing a good Ai workload management developer job description is crucial in helping you hire Ai workload management 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 Ai workload management 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 Ai workload management developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in an Ai workload management developer?

The top five technical skills Ai workload management 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 Ai workload management 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 Ai workload management developers to keep up with evolving technology and requirements.

What kinds of Ai workload management developers are available for hire through Arc?

You can find a variety of Ai workload management developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Ai workload management developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Ai workload management 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 Ai workload management 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 Ai workload management developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Ai workload management developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Ai workload management developers.

Every Ai workload management 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 Ai workload management 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 Ai workload management developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Ai workload management 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 Ai workload management 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 Ai workload management developers, you can rest assured that all remote Ai workload management 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 Ai workload management developers on Arc?

Arc pre-screens all of our remote Ai workload management developers before we present them to you. As such, all the remote Ai workload management 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 Ai workload management developer in 72 hours, or find a full-time Ai workload management 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 Ai workload management developers.

How much does a freelance Ai workload management developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Ai workload management developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Ai workload management 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 Ai workload management 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 Ai workload management developer?

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 Ai workload management 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 Ai workload management developers, check out our FAQs page.

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