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Remote Ai model validation developer in the United States (UTC-6)
Solutions-oriented Full-Stack Developer and Data Engineer with 6+ years of experience delivering scalable web apps, building robust APIs, and automating dynamic workflows. Expert in React, Node.js, Apps Script, Python, and Firebase. Demonstrated success transforming complex business processes into efficient systems to reduce operational costs and improve productivity. Passionate about leveraging technology to optimize and simplify complex or repetitive processes.
Vetted Ai model validation developer in Brazil (UTC-3)
**Senior Software Engineer and architect with over 9 years of experience composing a rich blend of experience across unique tech environments including YC startups. Specializing in AI and machine learning innovations.** Proficient in JavaScript/TypeScript, Python, ReactJS, and NodeJS and AI integrations and tools. Played a pivotal role in dozens of projects including a major integration project with Polish company Comarch, building a loyalty program for an audience of over 10 million users. Orchestrated backend architecture revamps, reducing fraud by 80% and boosting performance metrics. Proven leadership and cross-functional abilities, increasing team engagement in every project collaborated.
Vetted Ai model validation developer in India (UTC+6)
I am a passionate Data Scientist / Machine Learning Engineer (MLE) with 7+ years of experience building projects involving Data Analysis, Optical Character Recognition, Image processing, Deep Learning, Natural Language Processing, Computer Vision and Generative AI Visit my website ([mani2106.github.io](http://mani2106.github.io/)) for more of my work,
Remote Ai model validation developer in the United States (UTC-4)
Results-driven Data Scientist with over 3 years of experience in functional and technical analysis, design, and deployment of systems and process solutions within the banking industry, sports industry and cyber security. Expertise in leveraging data to uncover actionable insights and optimize business processes. Proficient in Python, SQL, and R, with hands-on experience in building business intelligence dashboards using Tableau and Power BI. Adept at collaborating with cross-functional teams to deliver projects on time and within budget.
Vetted Ai model validation developer in India (UTC-7)
I am an accomplished engineering leader with 20+ years in Fintech, Travel, and e-Commerce. I excel in cross-cultural team leadership, rapid product launches, and scaling for hyper-growth. My career spans pivotal roles at ThoughtWorks, Cleartrip, SAP-Ariba, and Simpl. I lead strategic roadmaps and cloud-native solutions at Simpl and Cleartrip, specializing in real-time data processing and machine learning. At Simpl, I reduced processing times to 60 milliseconds, boosting user approval and TPV. At Cleartrip, I enhanced a data platform, increasing conversions by 0.75% and implementing advanced analytics. I optimized AWS costs by 13%, improved search efficiency by 80%, and managed a monitoring system handling millions of documents with 15-millisecond latency. I also streamlined Cleartrip’s release cycles to weekly, implementing agile CI/CD practices with a 15-minute build cycle. I thrive on designing and architecting platforms, solutions, and productivity tools. My journey into distributed systems since 2015 has fueled my curiosity and love for exploring white papers and books on the subject. I enjoy programming, problem-solving, and collaborating with like-minded individuals. Deeply engaged in the tech community, I attend meet-ups to discuss cutting-edge topics in distributed systems and language advancements, while currently focusing on mastering MLOps principles for deploying machine learning models effectively. I have extensive SaaS product experience, contributing to Mingle, an agile project management tool, and Twist, a BDD test automation tool, at ThoughtWorks Studios. At SAP, I developed SAP Logistics Business Network and SAP Business Network Freight Collaboration, leading the engineering team to design scalable features for intercompany logistics collaboration, optimize cloud deployment for global accessibility, and enhance the user interface for managing logistics operations. Beyond work commitments, I find joy in photography, birdwatching, swimming, cycling, yoga, and bodyweight exercises. I am also an enthusiastic trekker, having explored extensive regions of the Western Ghats. Reach out to me to explore consulting opportunities, discuss engineering challenges, or exchange insights on technology and entrepreneurship. I'm open to talking about; - Hiring and Building Product Engineering Teams - Provided mentorship to build high-quality engineering teams for product companies, fostering growth and development within the team. - Product Development - Data Engineering Platform and MLOps capabilities - Strategic Leadership
Remote Ai model validation developer in the United States (UTC-5)
Machine Learning Engineer. Data Scientist. Technical Product Lead. Mentor.
Vetted Ai model validation developer in the United States (UTC-4)
Hello! I'm Akash Saurabh, a data-driven Data Scientist with 10 years of experience in machine learning, predictive analytics, and AI-driven automation. Proven expertise in building scalable ML models, time-series forecasting, NLP, and deep learning to extract insights and drive business impact. Strong background in data engineering, statistical modeling, and MLOps, ensuring seamless model deployment and operationalization. Adept at leveraging LLMs, fine-tuning models like LLaMA2 with LoRA, and implementing RAG-based AI solutions for decision intelligence. Experienced in Python, SQL, PySpark, TensorFlow, and cloud platforms (AWS, Azure, GCP), with a track record of deploying AI/ML solutions in supply chain, finance, and enterprise automation. WHAT I DO BEST: - Predictive Analytics & Forecasting: Develop and deploy machine learning models for demand forecasting, risk assessment, and anomaly detection. - Data Engineering & Model Deployment: Build ETL pipelines, automate AI workflows, and optimize MLOps processes using Databricks, Snowflake, and Dataiku. - Business Intelligence & Decision Science: Translate complex data into actionable insights, empowering organizations to make data-driven decisions. 💡 Passionate about leveraging data science and AI to solve real-world challenges, I thrive on transforming data into impact. Let’s connect and discuss data science, AI solutions, and business intelligence! 🚀 Beyond work, I enjoy traveling, meeting new people, and cooking. I'm also a trained flute player and am currently exploring standup comedy. Machine Learning : Data Mining, Data Visualization, Machine Learning, Predictive Modeling, Predictive Analysis, Pattern Detection, NLP, Time Series Forecasting, Decision Tree, Random Forest, RNN, CNN, XGBoost, GAN, BERT, Transformer, Regression, Data Analysis, Numerical Linear Algebra, Dimension Reduction Programming Languages : Python, SQL, R, Shell Script, Scala, Java, C++ Version Control System : GitHub, SVN, Jira CI/CD : Jenkins, Octopus Project Management/ ITSM: JIRA, ServiceNow Big Data: Snowflake, BigQuery, Hadoop, Hive, MongoDB Visualization Tools: Power BI, Power App, Tableau Cloud Technology : GCP, AWS, Microsoft Azure Databases : MySql, MS SQL Server, Excel Statistical method : Hypothesis testing, confidence interval, percentile & IQR, ANOVA Test ERP : CMIS, JDE, AGRIS, SAP, AGTRAX
Remote Ai model validation developer in the United Kingdom (UTC+1)
Technical Product Manager and Applied AI/ML Engineer. Extensive startup experience translating cutting-edge AI research into production systems at multiple unicorn scaleups. 6 years of experience working directly with applied AI research teams on LLMs, Vision, Voice, and Autonomy. Strong foundations in engineering ([B.Sc](http://b.sc/) Mech. Eng.), [M.Sc](http://m.sc/) AI coursework (Neural Computing, Computer Vision @ KU Leuven), and hands-on AI/ML work.
Remote Ai model validation developer in France (UTC+2)
I'm a Full Stack & Machine Learning Engineer currently pursuing a Master’s in Data Management & AI at ECE Paris. With 4 years of experience, I've built and deployed scalable web and AI-based applications using technologies like React, Node.js, Django, and Python, along with cloud platforms such as AWS and GCP. Most recently, I worked at Codistan Ventures, where I led the migration to microservices architecture and optimised database performance. Before that, I developed an AI chat platform at LearnOBots and contributed to ML research and Android development at NCAI. I enjoy working on challenging backend systems, building automation tools, and applying AI in practical use cases. I’m passionate about writing clean, maintainable code and collaborating in fast-paced, product-driven teams. I’m always eager to learn, experiment, and contribute to projects that make a real impact.
Remote Ai model validation developer in Brazil (UTC-3)
PhD in Public Health from the Ribeirão Preto School of Medicine, she believes that software and hardware can change the health sector for the better and empower women, making the world a fairer and healthier place. Bachelor's degree in Biomedical Informatics from the Ribeirão Preto School of Philosophy, Sciences and Letters and the Ribeirão Preto School of Medicine. I am used to and enjoy working with teams from diverse backgrounds. I work as an Innovation Coordinator at the Hospital Israelita Albert Einstein and I am a Computer Science professor at the Barão de Mauá University Center. My focus is on how technology and artificial intelligence applied to health can improve people's lives. I advocate bringing more women into STEM, especially in positions of power. Since 2021, I have worked as a technical leader of multidisciplinary teams that develop advanced AI for the health sector. I have worked as a consultant for the World Health Organization, as a software developer, and as one of the 51 grantees of the Bill and Melinda Gates Foundation in the Grand Challenges of AI for a more equitable world. As a Latin American woman, public health scientist, women's advocate, and developer, I can bring a unique perspective to a global, integrative, and excellence-driven approach. Developer and data analyst with 10+ years of experience. • Implemented a new module to perform NLP tasks • Developed a model to detect pregnant woman based on health procedures and with 95% of accuracy • Produced a series of data analyses that helped the development of the new WHO Intrapartum care guideline • Developed web system that sent 22,296 SMS to pregnant women and partners • Strong technical background due to academic training and professional experience: Bachelor's, Master's and PhD degrees from the best university in Latin America (TOP#1) • International experience in U.S. and Europe • Used to work remotely away from the team
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Ready to hire your ideal Ai model validation 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 model validation 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 model validation 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 model validation developers can help keep your website up-to-date.
To hire an Ai model validation 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 model validation developers effectively and efficiently. Hire full-time Ai model validation 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 model validation 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 model validation 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 model validation developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Ai model validation 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 model validation 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 model validation developers, consider niche platforms like Arc that naturally attract and carefully vet their Ai model validation developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Ai model validation developers.
Some factors to consider when you hire Ai model validation 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 model validation developers for hire.
Writing a good Ai model validation developer job description is crucial in helping you hire Ai model validation 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 model validation 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 model validation developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Ai model validation 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 model validation 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 model validation developers to keep up with evolving technology and requirements.
You can find a variety of Ai model validation 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 model validation developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Ai model validation 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 model validation 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 model validation 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 model validation developers.
Every Ai model validation 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 model validation 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 model validation 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 model validation 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 model validation developers, you can rest assured that all remote Ai model validation 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 model validation developers before we present them to you. As such, all the remote Ai model validation 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 model validation developer in 72 hours, or find a full-time Ai model validation 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 model validation developers.
Depending on the freelance developer job board you use, freelance remote Ai model validation developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Ai model validation 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 model validation 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 model validation 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 model validation developers, check out our FAQs page.