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Freelance Large Language Models Developers
Arc helps you find and hire top freelance Large Language Models engineers for your jobs. With 403 Large Language Models programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Large Language Models developers and experts that you can trust.
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Vetted Large Language Models developer in the United States (UTC-6)
I am an AI Engineer with 8+ years of experience in full-stack development, CI/CD, Containerization (docker) and Orchestration (k8n), Building Deep learning models, Fine-tuning LLM models, and building AI-driven agentic systems (AI apps and automation).
Vetted Large Language Models developer in Germany (UTC+1)
Looking for new adventures and challenges! A seasoned Senior Data Scientist and Machine Learning Engineer, with 5+ years of expertise in advanced text and statistical analytics, ML, statistical modeling, and NLP applications. Skilled in extracting insights from complex datasets to drive data-driven decision-making. Proficient in programming languages like Python, SQL, and Java and tools like GCP, and AWS. Exceptional problem-solver, adept at teamwork, and effective communication skills. Seeking a role as a Machine Learning Engineer, Data Scientist, Data Engineer, or Data Analyst. - \- Open to Relocate (in Germany) \## Skills Summary \# Technical Proficiency \- Programming Languages and Frameworks: Advanced proficiency in Python, Flask, and Java for full-stack Machine Learning development. \- AI/ML Technologies: Hands-on experience applying classification, regression, clustering, deep learning, image processing, and NLP techniques to solve real-world problems. \- Libraries: Expertise in NumPy, Pandas, PySpark, TensorFlow, Keras, PyTorch, sci-kit-learn, OpenCV, SciPy, SpaCy, Matplotlib, Seaborn, and Plotly for data exploration, modeling, and visualizations. \- Cloud Technologies: Extensive experience architecting and deploying end-to-end data science solutions on AWS (SageMaker, EC2, Lambda, S3) and GCP (Vertex AI, Compute&App Engine) platforms. \- Databases: In-depth working knowledge of SQL, MySQL, PostgreSQL, BigQuery, MongoDB, and Spark for efficient data storage, manipulation, and querying large datasets. \- Data Science and Misc. Technologies: Hands-on with generative AI, large language models, mathematics, time series analysis, recommendation engines, NLP applications, and Jupyter Notebook. \- Deployment/MLOps: Expertise using MLFlow, Airflow, FlaskAPI, TensorBoard, CI/CD, and Agile methodologies for robust model operationalization. \# Soft Skills \- Communication: Strong presentation skills to report influential findings to technical and non-technical stakeholders. \- Problem-Solving: Critical thinking and analytics to address challenging problems methodically. \- Collaboration: Proven team player with the ability to build consensus and achieve group objectives. \- Business Acumen: Track record of strategic business recommendations by translating complex analytics into actionable insights. Continuous Learning and Adaptability \- Innovation Mindset: Passion for self-improvement and hands-on experience with emerging technologies. \# Ethics & Compliance \- Data Privacy: Knowledge of data privacy, ownership, and ethical use as per regulatory standards like GDPR, and CCPA. \- Compliance: Understanding of legal frameworks to ensure projects meet quality and security compliances.
Vetted Large Language Models developer in Turkey (UTC+3)
Highly skilled and accomplished Deep Learning expert with 7+ years of experience consist of both Computer Vision and NLP and 4+ years of technical management experience. Adept at creating and implementing advanced machine learning pipelines, designing efficient backend systems, and managing technical teams to ensure the successful delivery of complex projects. I have built ⭐1.5K GitHub repo, called DemoGPT which is about prompt-based LLM application development. With DemoGPT, I aimed to democratize the LLM-based application development.
Vetted Large Language Models developer in Turkey (UTC+3)
Software Engineer with 4+ years experience, open-source Enthusiast, and Tech Youtuber. I am a lot proficient in Technologies like Javascript/Typescript, Python, Node.js, vuejs, Reactjs, Nextjs, vuetify, vuex tailwindcss etc. Building and Deploying Machine Learning Models. I'm a Bachelor's degree holder in computer software Engineering and an Openclassrooms graduate from the Front-End developer career path. I'm happy to help you uplift your skill.
Vetted Large Language Models developer in Poland (UTC+1)
Experienced Software Developer, specialised in AI technologies, with strong background in both applied science and full-stack development. Proven track record in delivering high-quality software solutions. Proficient in Python, C# and C++, with a keen ability to quickly adapt to new technologies. Seeking to leverage my technical and project management skills in a new capacity.
Vetted Large Language Models developer in Brazil (UTC-3)
**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)
Amazon
Vetted Large Language Models developer in Kenya (UTC+3)
`Python (Django)`, `PHP (Laravel, Wordpress), ReactJs (Javascript)`, `Flutter (Dart) and` `3X Certified Salesforce Consultant` `(Dart)` with 5+ years dedicated expertise in end-to-end application development. Proficient in harnessing Python frameworks including Django, Flask, Pandas, Tensorflow, and Microservices. Skilled in AWS, GCP, Heroku Cloud platforms, combined with frontend expertise in React.js. Well-versed with databases like MySQL, PostgreSQL, MySQL, and MongoDB. Utilizes robust communication and collaboration capabilities to ensure projects resonate with client goals efficiently and sustainably. `**Key Strengths & Qualifications:**` * **Full Stack Expertise:** Proficient in frontend and backend development, with a focus on creating seamless user experience and scalable server-side applications. * **Backend Mastery:** Extensive experience in Python language programming, enabling the development of efficient and maintainable backend systems, Restful APIs, and microservices using Django, Flask, TensorFlow, LLAMA and Numpy. * **Frontend Proficiency:** Skilled in modern frontend technologies, including JavaScript ES6, React, Angular and Vue, allowing for the creation of responsive and user-friendly interfaces. * **Database Management:** Experienced in designing and optimizing databases on PostgreSQL & Oracle, to ensure data integrity and high-performance data retrieval. * **Cloud Expertise:** Proficient in deploying applications on major cloud platforms such as AWS, Azure, and GCP, with knowledge of containerization (Docker, Kubernetes). * **Agile Leadership and Version Control:** Good understanding of agile software development principles & techniques and proficiency in version control system like Git. * **Security and Scalability:** Committed to building secure and scalable applications, implementing best practices for load balancing, fault tolerance, and system performance. * **Code Quality:** Passionate about writing clean, maintainable code and conducting thorough code reviews to uphold quality standards. * **Problem solving and Troubleshooting:** Strong analytical and problem-solving skills to identify and resolve technical issues efficiently. * **Communication and Collaboration:** Effective communication and collaboration skills to work with cross-functional teams and stakeholders. * **Continuous Learning and Adaptability:** Willingness to stay updated with the latest industry trends & technologies and comprehensive ability to quickly adapt to new challenges and technologies.
Vetted Large Language Models developer in Brazil (UTC-3)
I am Bachelor and Master Candidate at Universidade de São Paulo (USP), based in Brazil, with 5+ years of experience in technology careers with data driven projects and 3+ years of work as a Business Intelligence and Data Science Analyst, participating as Data Engineer, Data Analyst and Tech Lead in several projects, recently more focused in the Public Sector. Currently, I am enrolled in a Master Degree research focused in football analytics, with focus on maximization of expected goals through match events of a team. The main goal of my career is to allow technology to promote evolutions in other knowledge areas. I truly believe mentoring is a way to spread my knowledge and enhance opportunities for programmers who might be stuck in several questions: coding, networking, portfolio and carrer development.
Vetted Large Language Models developer in India (UTC-7)
I am a Senior AI Engineer with expertise in Python, ML, and Generative AI looking for a Dynamic workplace with a lot of work involving interesting and challenging problems.
Vetted Large Language Models developer in India (UTC+6)
I'm a dedicated full-time mentor, consultant and Lead software developer with a track record of over 1000+ sessions since 2016. Having 8 years of programming experience in Python, java, GoLang, AWS, MongoDb, ElasticSearch, telethon and many more technologies. I'm passionate about problem-solving and navigating intricate code bases. I love working with: ⭐ Python ⭐ Java ⭐ Spring ⭐ NodeJS ⭐ AWS ⭐ SQL ⭐ MongoDB ⭐ ElasticSearch ⭐ React ⭐ GoLang WHAT SEPARATES ME FROM OTHERS? * Strong and clear communication * Availability at all times Achievements: * 1000+ Sessions
Salesforce
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FAQs
Why hire a Large Language Models 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 a Large Language Models developer, multiple developers, 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 Large Language Models developers can help keep your website up-to-date.
How do I hire Large Language Models developers?
To hire a Large Language Models 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 Large Language Models developers effectively and efficiently. Hire full-time Large Language Models 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 Large Language Models engineers 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 Large Language Models 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 Large Language Models developer for your company, and let Arc handle the logistics.
Where do I hire the best remote Large Language Models developers?
There are two types of platforms you can hire Large Language Models programmers 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 Large Language Models 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 Large Language Models developers, consider niche platforms like Arc that naturally attract and carefully vet their Large Language Models developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Large Language Models developer candidates.
Some factors to consider when you hire Large Language Models 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 Large Language Models developers for hire.
How do I write a Large Language Models developer job description?
Writing a good Large Language Models developer job description is crucial in helping you hire Large Language Models programmers 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 Large Language Models 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 Large Language Models programmers, read our Software Engineer Job Description Guide & Templates.
What skills should I look for in a Large Language Models engineer?
The top five technical skills Large Language Models developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software 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 Large Language Models 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 Large Language Models developers to keep up with evolving technology and requirements.
What kinds of Large Language Models programmers are available for hire through Arc?
You can find a variety of Large Language Models developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Large Language Models programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Large Language Models 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 software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Large Language Models 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 Large Language Models developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Large Language Models developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Large Language Models developers.
Every Large Language Models developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in Large Language Models and breadth across the greater domain). 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 Large Language Models engineer 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 developer’s Large Language Models skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Large Language Models 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 Large Language Models 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 Large Language Models developers, you can rest assured that all remote Large Language Models 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 Large Language Models developers on Arc?
Arc pre-screens all of our remote Large Language Models developers before we present them to you. As such, all the remote Large Language Models 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 Large Language Models programmer in 72 hours, or find a full-time Large Language Models programmer 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 Large Language Models developers.
How much does a freelance Large Language Models developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Large Language Models developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Large Language Models 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 Large Language Models 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 Large Language Models developer?
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software 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 Large Language Models 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 Large Language Models developers, check out our FAQs page.