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Remote Ai workload management developer in India (UTC+6)
As an Engineering Leader at Altimetrik, I provide vision and technical direction, leveraging my extensive platform engineering expertise to deliver innovative solutions and ensure customer success for leading fintech clients. With over 25 years in the IT industry, I have a strong record of accomplishment in solving complex problems through the architecture and implementation of future-proof systems, a commitment to automation, and a focus on software quality. My background includes senior leadership positions at Reliance HMO, DBS Bank, and Barclays, where I was responsible for creating and implementing technology strategies, re-architecting products, aligning technology resources with organizational goals, and managing budgets and project timelines. I am passionate about driving digital transformation and the re-architecture of applications to scalable, distributed systems in the cloud. I hold certifications in Generative AI, AI & ML, Scaled Agile Framework, Blockchain Architecture, PMP, and ITIL.
Remote Ai workload management developer in India (UTC+6)
Motivated Computer Science student with strong technical skills in Python, machine learning, and UI/UX, a proven team player with leadership experience, and a passion for both academic excellence and extracurricular achievements like sports and research
Remote Ai workload management developer in India (UTC-7)
I create intelligent, scalable and high-performance systems by taking advantage of full-stack development, generative AI and cloud computing. With an experience of 4.5 years, I specialize in the creation of innovative, future solutions using technologies such as React (redux), Angular, Node.JS, Python, Large Language Model (LLM), and AWS. My expertise includes developing end-to-end applications, adaptation of performance and safety, and integrating AI-operated solutions to enhance user experiences. Enthusiastic about problem-solving and constant learning, I remain updated with the latest progress to distribute modern and impressive applications.
Vetted Ai workload management developer in India (UTC+6)
Hi, I’m Lovish — a seasoned software developer and tech leader with 9 years of experience collaborating with startups and founders. I specialize in mobile development, AI, data analytics, product strategy, and team building. If you’re looking for a versatile expert who can code, lead, and deliver, let’s connect.
Vetted Ai workload management developer in India (UTC-7)
A Results-driven Sr. Technical Lead with extensive experience in product/project implementation, migrations, and client engagement. Skilled in managing multiple projects, setting client expectations, and leading cross-functional teams to deliver high-quality solutions. Expertise in C# .NET, API integration, Azure Cloud, SQL, NoSQL and cloudbased architectures. On top of that, I'm also someone who excels as an individual contributor.
Vetted Ai workload management developer in India (UTC+6)
Accomplished technology professional with 18+ years of experience specializing in machine learning research, end-to-end data science and AI engagements, business strategy, and building high-performing teams. Experienced in building transformational machine learning initiatives in multiple domains, including ad tech, automotive, manufacturing, telecom, banking, and retail. Proficient in leveraging large language models (LLMs) and Generative AI techniques to develop innovative solutions. Led R&D teams in developing novel, futuristic applications in computer vision, machine learning, and natural language processing.
Remote Ai workload management developer in India (UTC+6)
A 3.5-year experienced Data Scientist with a Master’s in Computer Science, specializing in Data Science and Analytics. Experienced in delivering tailored machine learning solutions and comprehensive BI projects across various industries. Proven track record in coding, data management, and reporting through hands-on experience at KPMG and freelance projects. Passionate about transforming data into actionable insights that drive business success. I am seeking a full-time opportunity to contribute my skills and expertise to a dynamic team.
Remote Ai workload management developer in India (UTC-7)
Immediate Joiner | Production Support Engineer | Fintech | Incident Management | CI/CD | DevOps | AWS | ITIL As a results-oriented Production Support Engineer with 7.5+ years of experience across the fintech and IT services domain, I specialize in delivering 24/7 platform stability, leading high-performing teams, and driving operational excellence. Currently leading the Production Support function at Tide, I’ve built the support team and processes from the ground up—achieving a 98% SLA success rate, reducing incident recurrence by 30%, and automating key incident workflows to reduce manual effort by 60%. My expertise spans incident/problem/change management, Java application troubleshooting, CI/CD pipeline monitoring, and cross-team collaboration. I’ve leveraged tools like Jenkins, GitLab CI, Rootly, Splunk, Datadog, AppDynamics, and ELK to manage deployments, monitor systems in real-time, and resolve P1/P2 incidents with minimal downtime. I’ve also mentored engineers to drive process adherence and built dashboards and Jira-Slack automations that reduced ticket volumes and improved resolution speed. Previously at Capgemini, I ensured 99.9% application uptime across cloud-based infrastructures (AWS, Azure), executed 20+ DR drills, and enhanced system resilience with robust backup and recovery strategies. My background includes hands-on experience with Control-M, Autosys, system-level Linux/Unix operations, and database support (SQL/PLSQL). Key Achievements: - Designed a comprehensive incident management program at Tide, improving consistency and response times. - Built real-time dashboards and alerts that decreased ticket volume by 30%. - Developing Jira and Slack integrations, boosting response efficiency. - Honored with multiple awards including Achievers Award and Best Employee at Tide. Certifications: ITILv4, Google Technical Support Fundamentals, Google AI Essentials, Microsoft AZ-900, Python (Basics), Fintech ( Barclays’s Nano MBA ), Java/J2EE, Linux, SQL, English. Technical Expertise: - Troubleshooting the Java based Application issues. - Deep understanding of ITIL frameworks, focusing on Incident, change, and problem management. - Experience with BMC Control-M, Datadog, Splunk, Dynatrace and Looker for effective scheduling & monitoring. - Proficient in ITSM tools like ServiceNow, Remedy, and JIRA. - AWS & Azure Cloud - MS Office - Shell Scripting - Skilled in managing DBs like SQL on platforms such as Windows, Linux/Unix. - Strong background in Backups, Restore & Disaster Recovery. - Strong background in APIs( Rest API ), Networking Concept
Remote Ai workload management developer in India (UTC+6)
I am an experienced tech leader with 15+ years in full-stack development and technical management. As the **CTO** and co-founder of **Fanmojo**, I led the development of a fantasy sports platform, scaling the team to 5+ engineers and driving the platform to 100K users and $150K in revenue, before its acquisition. At **builder.ai**, I managed an edtech project client where I led a team of 10+ developers, providing hands-on technical guidance while driving successful project delivery for high-profile clients in the US/UK. Additionally, my experience as a **Senior Project Manager** allowed me to shape and scale multiple tech products with high operational efficiency. I have a proven track record in building scalable, real-time systems, and architecting modular, maintainable codebases, using technologies like **Node.js, React, and cloud-based solutions**. I thrive in fast-paced, high-accountability environments, and my experience in leading tech teams and delivering quality software in a timely manner positions me well to help **AlgoEd** scale its platform and impact.
Remote Ai workload management developer in India (UTC+6)
I am a **versatile Full-Stack Developer and AI/ML Engineer** with hands-on experience in **building scalable web applications, developing robust backend systems, and leveraging AI-driven solutions**. Over the years, I have worked with top companies like **IBM, Mathco (Kellogg), Innominds, and VividCo**, leading projects that optimize performance, automate workflows, and enhance data-driven decision-making. My expertise spans **Python, JavaScript, React, SQL, AWS, and machine learning**, allowing me to develop and deploy high-performance applications across various domains. Passionate about **problem-solving and innovation**, I aspire to **drive digital transformation by integrating AI and automation into business processes**, ensuring smarter, more efficient solutions.
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Ready to hire your ideal Ai workload management developers?
Get startedArc offers pre-vetted remote 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 Ai workload management 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.