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Vetted Llm building and deployment developer in Canada (UTC-3)
With over a decade of experience, my skills shine in: 1. Developing software products from ideation to launch for both B2B and B2C needs. 2. Building practical AI applications powered by foundational models. I am proficient with the following tools and technologies: React, React Native, Next.js, Remix, Express, AWS (EC2, Lambda, RDS, DynamoDB etc.), Prisma, TypeScript, JWT, MongoDB, Ruby, Rails, SQL, REST, Django, JavaScript, Tableau, HTML, CSS, Python, Flask, Fly, Heroku, Auth0, Google Analytics, Material UI, Bootstrap, Tailwind, various CMS platforms (WordPress, Weebly), Retool, and more. I am passionate about: African countries rising, finding new things to learn, and consuming great works of fiction!
Vetted Llm building and deployment developer in Pakistan (UTC+5)
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐝 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫, 𝐚𝐧𝐝 𝐀𝐈 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 𝐰𝐢𝐭𝐡 𝐨𝐯𝐞𝐫 𝟏𝟎 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞in designing and deploying machine learning models, particularly large language models (LLMs) and NLP applications. Extensive experience in Python and Django for backend development, combined with React for building dynamic, user-friendly frontend interfaces. Proven ability to lead complex AI projects, fine-tune models using Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) and deliver scalable solutions on cloud platforms such as AWS and GCP. Skilled in developing APIs, automating workflows, and integrating AI-driven functionalities across SaaS and e-commerce platforms. Proficient in deploying full stack solutions, ensuring seamless functionality from data pipelines to user experience. 𝐒𝐊𝐈𝐋𝐋𝐒 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 • Python (TensorFlow, PyTorch, Hugging Face Transformers) • JavaScript/TypeScript (React, Node.js) • SQL/NoSQL (PostgreSQL, MongoDB) 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐍𝐋𝐏 • Large Language Models (GPT, BERT, T5) • Transformer Architectures (Hugging Face, OpenAI) • Supervised Fine-Tuning (SFT) • Reinforcement Learning from Human Feedback (RLHF) • NLP Tasks: Text Generation, Summarization, Sentiment Analysis, Question Answering • Deep Learning (TensorFlow, PyTorch) • Transfer Learning & Model Optimization 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐂𝐥𝐨𝐮𝐝 • AWS (SageMaker, Lambda), GCP, Azure • Docker, Kubernetes, Jenkins • CI/CD Automation (GitHub Actions, Jenkins, Terraform) 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 • Agile & Scrum Methodologies • Version Control (Git, GitHub, Bitbucket) • Unit Testing, TDD (PyTest, Playwright, Jest)
Remote Llm building and deployment developer in the United States (UTC-5)
I am a seasoned Software Engineer with 15+ years of experience and a Master's in Computer Science from Tulsa University. Currently the founder of AgentForge LLC, where I develop LLM-powered applications including GreenSage and a space simulation game. Previously I served as Senior Software Engineer and Manager at W Energy Software, where I designed systems with fewer defects than other modules and mentored over 20 developers. My technical expertise spans Python, JavaScript, Ruby, and Golang, with strong skills in Docker, AWS, and various databases. I have experience building intelligent agents, volunteer management platforms, and consensus engines. My background includes published research on AI and multi-agent systems, complemented by community involvement as a youth coach, public speaker, and technical mentor. I excel at combining deep technical knowledge with leadership abilities, particularly in AI applications.
Remote Llm building and deployment developer in the United States (UTC-7)
Senior full-stack developer & technical founder with 7+ years of experience building scalable web and mobile applications, intuitive interfaces, and intelligent systems across SaaS, e-commerce, and internal tools. Combines frontend craftsmanship with backend fluency and business acumen in an AI-native package. Passionate about product quality, user delight, and shipping scalable solutions that solve real problems.
Remote Llm building and deployment developer in the United Kingdom (UTC+1)
I am a **Machine Learning Engineer** with **5 years professional experience** in developing ML solutions in **Python**. My specialization is **NLP(Natural Language Processing)**, and I have been working with **open-source LLMs** and **commercial LLMs** for the past 2 years as well. I have experience with all phases of ML from data pipelines(**ETL** using spark, Glue, or any DBs), data analysis, building models (**Machine Learning + Deep Learning**), and deploying the models (small scale + large scale). I mostly use **AWS** for all cloud services. I also have experience in **building APIs** and **backends in Django and FastAPI.**
Remote Llm building and deployment developer in Pakistan (UTC+5)
A versatile Data Scientist with a strong foundation in Python, R, SQL, and a comprehensive tech stack including TensorFlow, PyTorch, and cloud technologies (AWS, Azure, Google Cloud). My experience spans developing patient communication chatbots, forecasting budgets to reduce costs by 10%, and conducting A/B tests to optimize marketing strategies. I am seeking a challenging position where I can contribute to impactful data-driven decision making, further develop my expertise in large scale data processing and machine learning deployment, and grow into a leadership role within the data science field.
Remote Llm building and deployment developer in Pakistan (UTC+5)
Spent 8+ years in building AI solutions for Fintech, Healthcare, Ecommerce and Software Development industries. AI Research Engineer working with PhDs, contributing to data and AI advancements, with published research in the intersection of AI and Quantitative Finance. Transformed raw data into revenue-generating insights, helping clients dominate their markets. Mastered Data Analytics, Business Intelligence, Agile and Data Engineering domains.
Remote Llm building and deployment developer in Peru (UTC-5)
I am a Machine Learning Engineer, AI Researcher, and Cloud/Full-Stack Developer with expertise in GenAI applications, Machine Learning, Deep Learning, Computer Vision, Video Processing, and NLP with strong experience in designing and deploying AI systems, MLOps, and cloud-based AI solutions.
Remote Llm building and deployment developer in Pakistan (UTC+5)
Hi, I’m Syeda Anshrah Gillani! I’m a **Generative AI Engineer and Project Manager** with **three years of experience** leading innovative projects. My expertise lies in **AI-driven solutions, project management, and product development**, where I bridge the gap between technology and business needs. I’ve successfully managed multiple projects, ensuring seamless execution from ideation to delivery. Beyond my professional work, I create content on **personal growth, self-love, and motivation** on my **YouTube channel**, aiming to inspire and empower people to become the best versions of themselves. I’m passionate about **leveraging AI for impactful solutions**, driving efficiency, and fostering growth both in technology and in life.
Remote Llm building and deployment developer in Morocco (UTC+1)
Machine Learning Engineer with 3+ years of experience in developing, deploying, and optimizing AI models across industry, research, and hackathons. Specialized in Computer Vision, NLP, Time-Series Forecasting, and LLMs. Strong background in data engineering, model evaluation, and MLOps, with a proven track record of scalable real-world deployments with impactful results.
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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 a Llm building and deployment 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 Llm building and deployment developers can help keep your website up-to-date.
To hire a Llm building and deployment 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 Llm building and deployment developers effectively and efficiently. Hire full-time Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment developers, consider niche platforms like Arc that naturally attract and carefully vet their Llm building and deployment developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Llm building and deployment developers.
Some factors to consider when you hire Llm building and deployment 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 Llm building and deployment developers for hire.
Writing a good Llm building and deployment developer job description is crucial in helping you hire Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment developers to keep up with evolving technology and requirements.
You can find a variety of Llm building and deployment developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Llm building and deployment developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Llm building and deployment developers.
Every Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment developers, you can rest assured that all remote Llm building and deployment 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 Llm building and deployment developers before we present them to you. As such, all the remote Llm building and deployment 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 Llm building and deployment developer in 72 hours, or find a full-time Llm building and deployment 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 Llm building and deployment developers.
Depending on the freelance developer job board you use, freelance remote Llm building and deployment developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment 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 Llm building and deployment developers, check out our FAQs page.