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Vetted AI model fine-tuning developer in India (UTC+6)
An iOS developer with robust 10+ years of experience with more than 15 Applications live on App Store and 4 Enterprise Applications delivered. During this period I learned to develop Applications in Objective C as well as in SWIFT, I have also learned to develop Applications for iWatch and iTV.
Remote AI model fine-tuning developer in the United States (UTC-6)
• Data Scientist with 5+ years of experience in building scalable machine learning models, NLP pipelines, and real-time analytics solutions using Python, SQL, R, and cloud technologies (AWS, Azure, GCP). • Proficient in supervised and unsupervised learning algorithms including XGBoost, Random Forest, SVM, K-Means, LSTM, and deep learning models using TensorFlow and PyTorch. • Expertise in Natural Language Processing (NLP) with LLMs, spaCy, NLTK, and Hugging Face Transformers for sentiment analysis, text classification, and semantic search. • Hands-on experience in developing and automating end-to-end ML pipelines using PySpark, Databricks, and cloud-native tools like AWS SageMaker and Azure Data Factory. • Strong background in statistical analysis, A/B testing, and time series forecasting using ARIMA, Prophet, and hypothesis testing techniques to drive data-driven decision-making. • Skilled in integrating visual analytics through Power BI, Tableau, and Excel to present complex insights and model results to cross functional teams and stakeholders. • Adept at handling big data and structured/unstructured datasets using SQL, Snowflake, MongoDB, and data lakes, ensuring efficient data ingestion, transformation, and storage.
Vetted AI model fine-tuning developer in Bolivia (UTC-4)
I am a Machine Learning Engineer with experience in developing Machine Learning driven APIs using different backend frameworks and cloud technologies. I have expertise in Python, SQL, Cloud Technologies like AWS or Azure, and backend Frameworks and libraries like Django, FastAPI and Azure Durable Functions.
Remote AI model fine-tuning developer in France (UTC+2)
I am a software engineer with 7 years of experience in total, I spent the past 4 years working on blockchain projects or doing blockchain consulting. I am always curious, eager to learn and willing to surround myself with inspiring people. I have worked in very different parts of the world and I am used to work remotely with colleagues living on different timezones.
Vetted AI model fine-tuning developer in the United States (UTC-5)
I’m a full-stack software developer and system architect with expertise in AI, blockchain, Django, React, and automated trading systems. I’ve designed secure smart contracts, deployed high-frequency trading bots, and built enterprise web platforms from scratch. With a strong foundation in both programming and business strategy, I specialize in delivering end-to-end technical solutions that drive measurable results. I’m now looking for opportunities where I can build innovative products and lead development on forward-thinking tech teams.
Vetted AI model fine-tuning 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.
Remote AI model fine-tuning developer in the United States (UTC-4)
Nitin Kumar (MS, CMU) brings extensive experience in R&D prototyping, artificial intelligence (AI), health informatics, public sector data, and data interoperability. He currently leads Data Science, AI, and Cloud initiatives, applying advanced research methods to the federal space through innovative technical papers, proof-of-concepts (POCs), and MVPs. Nitin has worked with federal agencies including NIH and NOAA, helping them advance their data and AI strategies. He’s also authored white papers for CSPs like AWS and served as a reviewer for AAAI. His key focus areas include Generative AI, NLP, data pipelines, and scalable AI infrastructure. Nitin has hands-on expertise in integrating large language models (LLMs), particularly RAG architectures, and brings a strong foundation in AI governance frameworks. Key highlights of Nitin's experience include: 1. Leading the development of custom RAG LLM-based chatbots and conversational AI systems 2. Designing and implementing data pipelines and ETL processes for complex, multi-source data environments 3. Developing search engines and recommendation systems using advanced NLP techniques 4. Creating predictive models for various applications, including purchasing systems and storm forecasting 5. Contributing to research in areas such as federated learning and AI-assisted decision support Motto: "Live to learn" He has built POC, MVP, white papers for agencies like VCE, NIH NINDS, VA, DARPA, NOAA and AFRL. Has also worked to Ideate and develop new enterprise apps to bring AI and BI to legacy systems and upgrade them. A self taught Fast Learner, with strong attention to details. Open to Data Science opportunities. Skills: • NLP: nltk, spaCy, Gensim, CoreNLP, word2vec, Transformers, TextBlob, BERT, StanfordNLP, RegEx, LangChain, LLMs. • Cloud: AWS, Spark, Docker, SageMaker, Vertex AI, Git, Airflow, Serverless, ECS. • Programming: Python, R, SQL, C++, Flask. PostgreSQL, MATLAB, SPSS. • Libraries: NumPy, pandas, Matplotlib, scikit-learn, PyTorch, Dash, Plotly, ggplot2, caret, XGBoost • Solutions Architecture: AWS ML Specialty certificate – all services, GitHub, Restful API, Lambda. • Databases: Elasticsearch, MongoDB, SQL, BigQuery, PostgreSQL, MySQL, SQLAlchemy.
Vetted AI model fine-tuning 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 fine-tuning 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 fine-tuning 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
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Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
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 fine-tuning 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 fine-tuning developers can help keep your website up-to-date.
To hire an AI model fine-tuning 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 fine-tuning developers effectively and efficiently. Hire full-time AI model fine-tuning 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 fine-tuning 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 fine-tuning 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 fine-tuning developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire AI model fine-tuning 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 fine-tuning 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 fine-tuning developers, consider niche platforms like Arc that naturally attract and carefully vet their AI model fine-tuning developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote AI model fine-tuning developers.
Some factors to consider when you hire AI model fine-tuning 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 fine-tuning developers for hire.
Writing a good AI model fine-tuning developer job description is crucial in helping you hire AI model fine-tuning 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 fine-tuning 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 fine-tuning developers, read our Engineer Job Description Guide & Templates.
The top five technical skills AI model fine-tuning 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 fine-tuning 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 fine-tuning developers to keep up with evolving technology and requirements.
You can find a variety of AI model fine-tuning 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 fine-tuning developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote AI model fine-tuning 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 fine-tuning 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 fine-tuning 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 fine-tuning developers.
Every AI model fine-tuning 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 fine-tuning 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 fine-tuning 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 fine-tuning 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 fine-tuning developers, you can rest assured that all remote AI model fine-tuning 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 fine-tuning developers before we present them to you. As such, all the remote AI model fine-tuning 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 fine-tuning developer in 72 hours, or find a full-time AI model fine-tuning 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 fine-tuning developers.
Depending on the freelance developer job board you use, freelance remote AI model fine-tuning developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find AI model fine-tuning 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 fine-tuning 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 fine-tuning 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 fine-tuning developers, check out our FAQs page.