Arc helps you find and hire top freelance Generative Models engineers for your jobs. With 220 Generative 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 Generative Models developers and experts that you can trust.
$0 until you hireSenior Freelance Generative Models Developer
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.
Machine Learning • 5 yrs
Python • 5 yrsAI (artificial intelligence) • 4 yrs
Data Science • 5 yrsDeep Learning • 4 yrs
TensorFlow • 4 yrsText-to-Speech Technology • 3 yrsPyTorch • 3 yrsComputer Vision • 2 yrsAzureBig Data
NLP (Natural Language Processing)Information RetrievalOpenAIChatbot developmentChatGPTOpenAI APIsLangchainStatisticsClassification
DockerKubernetesStatistical AnalysisAWS SageMakerAWS (Amazon Web Services)
C++Amazon AlexaFreelance Generative Models Developer
Looking for an expert in Machine Learning, Data Science, Computer Vision, GAN, NLP, CHATGPT, GEMINI, Stable Diffusion, PyTorch, TensorFlow, LangChain, LlamaIndex, real-time chatbot agents, customer recommendation systems, churn modeling, dynamic pricing, fraud detection, and image recognition? Let's talk. At Google Brain Team, I was developing the TensorFlow library that is the most popular machine learning library. I love the using TensorFlow because I know the infrastructure very well. I have been working on Artificial Intelligence topics for about 4 years. I 'm following latest papers from AI projects and even have a blog that I review. I have also contributed several various open source AI projects, such as jax, flax, fastai, etc. I have direct experience in the following technologies/topics: ✅ Machine Learning (Deep Learning, Clustering, Classification, Regression, SVM, PCA, KNN, etc) ✅ Computer Vision (Image Classification, Object Detection, Object Tracking, Image Segmentation, GANS, Pix2Pix, StyleGAN, etc.) ✅ Natural Language Processing, (RNN, Transforms, Named-Entity Recognition, Sentiment Analyzing, Summarizing, SOA Models(Bert, GPT, T5)) My toolkit: ✅ TensorFlow (Core, Addons, Datasets, TensorBoard, TFLite), ✅ PyTorch, ✅ Scikit-Learn, ✅ Numpy, ✅ Pandas, ✅Matploblib, ✅ NLTK, ✅OpenCV, ✅Knet.jl, ✅Jax, ✅spaCy, ✅Hugging Face, I love working on challenging topics and it is of immense significance to me personally to develop high-quality software. I am a process-orientated person and most of my customers find it useful to finish tasks effectively.
Python • 9 yrsTensorFlow • 7 yrsComputer Vision • 7 yrsMachine Learning • 7 yrsDeep Learning • 7 yrsNLPConsulting
AWSPipelinesBERTSpacyChatbotLLM
Senior Generative Models Developer
I am a Machine Learning Engineer with expertise in TensorFlow, PyTorch, and various ML models. I have led projects in ID verification, fraud detection, and chatbot development, achieving significant improvements. My educational background includes a Master's in Machine Learning.
Python • 7 yrsPyTorch • 5 yrsMachine Learning • 5 yrsPandas • 7 yrsTensorFlow • 6 yrsScikit-learn • 5 yrsAWS (Amazon Web Services) • 5 yrs
SQL • 5 yrsJenkins • 4 yrsDocker & Kubernetes • 4 yrs
GitOpenCVNumPyCUDAAmazon S3
RedisComputer VisionDockerNLP (Natural Language Processing)KibanaKubernetesSeaborn ggplotAWS ComputeMLflowTransformers
RustRegression modellingSenior Freelance Generative Models Developer
Crafting effective data solutions with a decade of experience. I have brought numerous projects from idea to deployment and integration. Helped increase operation efficiency, expand product offerings, and boost revenue. I discovered my love for mathematical modeling and econometrics during my Master's thesis. Mathematical education helps me to stay updated on the latest AI research and drives my continuous learning. I started my career as a Data Analyst in the marketing and power industries. Led projects to process and model data. Achieved annual revenue boosts of up to 10%. Transitioned to independent consulting. I excelled in creating and integrating over 10 data science and machine learning solutions from scratch. Collaborated closely with teams and leaders to shape technology and data strategies. Recently, I explored Generative AI's potential. Applied it for data mining and enrichment, extracting valuable insights from over 10 million social media accounts. The efficiency of NLP + GenAI led me to delve deeper by creating several personal projects. Skills: * NLP: LLM, Prompt Engineering, Fine-Tuning, LangChain, OpenAI. * MLOps: neptune.ai, MLflow, W&B, Docker, GCP (Vertex AI), AWS. * ML: PyTorch, TensorFlow, Optuna, UMAP, LightGBM, scikit-learn, SHAP. * DS: Python, Time Series, Graph Theory. * Data: Statistics, SciPy, Plotly, EDA, pandas, NumPy. * Databases: BigQuery, MySQL, PL/SQL, Redis. * Other: Dashboards, Algorithms Development.
Data Science • 10 yrsMachine Learning • 7 yrsNLP (Natural Language Processing) • 5 yrsData ModelingLLMPythonDeep LearningData AnalysisPredictive modeling
Senior Freelance Generative Models Developer
A humble **AI / ML engineer and scientist** with 6+ years of success in design, development, and successful launch of **client-focused** solutions on **cloud** platforms, including experience for a Fortune 500 company **Oracle**, with a proven track record of delivering high-performance Objective Key Results (OKR) and **Artificial Intelligence patents**. PhD reseracher with experience in the execution of development roadmap, securing **cross-functional** stakeholder **consensus**, while consistently driving revenue growth as well as time and cost savings. CAREER HIGHLIGHTS * Awarded for a high-speed delivery (2 years delivery with >75% performance on OKR metrics) of a scalable AI application on cloud * Enhanced online deep learning under imperfect time series data for simulated & real-life applications * Created intent focused follow-up questions for **RAG** pipeline of LLM based conversational product * Conducted **prompt engineering** and **fine-tuning** to improve output of a PyTorch based **large language model**
Machine Learning • 9 yrsPython • 9 yrsAI (artificial intelligence) • 7 yrsPyTorch • 6 yrsDeep Reinforcement Learning • 5 yrsData Science • 5 yrsPeople Management • 2 yrsRetrieval-Augmented Generation • 1 yrsSQLLeadershipTeam CoachingWriting SkillsTestingDevelopmentSenior Freelance Generative Models Developer
As a Generative AI Engineer, I am responsible for developing, designing, and maintaining cutting-edge AI-based systems to ensure smooth and engaging user experiences. My role involves creating and developing generative models that have the ability to generate new content, such as images, text, and audio, based on patterns. I work across client teams to develop and architect Generative AI solutions using machine learning and other AI technologies. Additionally, I participate in activities which includes refining and optimizing prompts to improve the outcome of Large Language Models (LLMs). I also evaluate and select appropriate AI tools and machine learning models for tasks, as well as build and train working versions of those models using Python and other open-source technologies.
Data Science • 7 yrsMachine Learning • 7 yrsAnalytics • 7 yrsPython • 5 yrsData Analysis • 5 yrsAI (artificial intelligence) • 4 yrsNLP (Natural Language Processing) • 3 yrsDeep Learning • 3 yrsPyTorch • 2 yrsTensorFlow • 2 yrsPrompt Engineering • 1 yrsSQLOpenAIGPT-4
MySQLAzureComputer Vision
Senior Generative Models Developer
I am an AI Software Engineer with over 10 years of experience in developing cutting-edge AI solutions for various industries. I’m proficient in Data Science, ML(Machine Learning), DL(Deep Learning), NLP(Natural Language Processing), CV(Computer Vision) and GenAI(Generative AI).
Machine Learning • 10 yrsPython • 10 yrsDeep Learning • 10 yrs
JavaScript • 10 yrsComputer Vision • 10 yrsData Science • 10 yrsNLP (Natural Language Processing) • 7 yrsTensorFlow • 7 yrsPyTorch • 6 yrsChatbotHuggingfaceLLM
Django
Flask
ReactAWS (Amazon Web Services)
Senior Freelance Generative Models Developer
Having 9+ years of experience in Science of the data, I do not hesitate to use adaptations instead of reinventing the wheel. I BELIEVE: 1) Scoping the problem to find its relevance is one of the most important aspects of analytics. 2) Creating partial solutions is better than admiring the problem. Being an impatient learner makes me flexible enough to learn new technologies. Science of data is not just a Tech, but also a LIFE skill!
Data Science • 9 yrsMachine Learning • 9 yrsData Analysis • 9 yrsDeep Learning • 9 yrsNLP (Natural Language Processing) • 9 yrsTensorFlow • 9 yrsComputer Vision • 9 yrsPython • 9 yrsSQLGit
RAzureVersion controlAutomationScalabilityClassificationAnalysisDockerCollaborationClusteringText ProcessingDeploy
Google Cloud PlatformDashboardsLeadershipStrategyData VisualizationResearchNeural Networks
Software DevelopmentA/B testingPresentationsText ClassificationApplication DevelopmentModellingContainerizationContinuous DeploymentKubernetesSupervised LearningReinforcement LearningUnsupervised LearningTechnical Writing
Apache HadoopKerasRecurrent neural networksData CleaningData IntegrationAgileData EngineeringData LakePerformance OptimizationData WarehouseProblem SolvingPyTorchData QualityDomain ExpertiseCommunication SkillsProgram ManagementStatistical AnalysisTime Series AnalysisBayesian StatisticsReport DesignData GovernanceBig data technologiesCloud Computing PlatformsSentiment TaggingTokenizationFeature ModelingTransformersData-Driven SecurityHuggingfaceCritical ThinkingRegression modellingMicrosoft Business IntelligenceSoftware ArchitectureNatural Language ToolkitAWS (Amazon Web Services)Multivariate AnalysisExperimentationNoSQLData MiningAlgorithmTableauQlikViewMicroservicesData processing
Microsoft Power BIPredictive modelingStatistical Programming
DevOpsSenior Generative Models Developer
Seasoned engineering leader with 23 years of expertise in mobile app development and generative AI. Demonstrated success in designing and developing over 100 apps across platforms such as Android, iOS, and Windows Mobile. Skilled in building, mentoring, and leading high-performing engineering teams. Holder of a filed patent and have successfully published 50+ apps/games on Google Play Store and Apple App Store. **Key Achievements** \- **Innovation:** Developed and launched over 100 apps across multiple platforms, with more than 50 apps published on major app stores. \- **Leadership:** Built and led engineering teams to deliver high-impact projects, resulting in improved efficiency and performance. \- **Scalability:** Successfully managed services and deployments for products used by ~500 millions of users globally. **Technical Skills:** **AI/ML:** \- Generative AI, Stable Diffusion \- LLama - Large Language Models \- Mobile AI/ML (ML Kit) **Mobile App Development:** \- Native (Android, iOS) \- Hybrid (React Native, Flutter) **Backend Development:** \- Python, Java, REST API **Web Development:** \- HTML, CSS, JavaScript **Cloud Services:** \- Amazon Web Services (AWS), Google Cloud Platform (GCP) **Other Technologies:** \- IoT, ELK Stack, Generative AI
Python • 5 yrsAI Image Generation • 2 yrs
Android
Java
Kotlin
Senior Freelance Generative Models Developer
**ABOUT ME** As a seasoned AI/ML engineer with over 9 years of dedicated experience, I specialize in the entire spectrum of AI SaaS product development. My recent focus lies in the advancement of Generative AI and Large Language Models, leveraging from vector databases to optimize content accuracy for superior user engagement. Over the course of my career, I have engaged with a diverse array of companies, navigating complex challenges and delivering tangible results through the completion of 80֡ innovative projects. My portfolio encompasses a breadth of industries including Retail, Media, Sports, Security, and Health Care, showcasing a consistent ability to translate visionary concepts into impactful, market leading solutions. **ACHIEVEMENTS** * Ranked in the Top 1% and handpicked to be featured at Upwork's exclusive enterprise event. * Played a part in the journey to industry acclaim, earning trust from top brands including P&G, Nvidia, and AT&S. Featured at Adobe, HubSpot, and beyond! * Achieved top honors with both "Best Student" and "Best Final Year Project" awards from the University of Bradford, UK, for excelling in my degree and capstone project. **EXPERTISE:** * **Scripting & Languages:** Python, C, C++, Matlab, R, Bash * **Tools:** OpenCV, OpenVino, Numpy, Pandas, Spacy, Gensim, Transformers, NLTK, CoreNLP, Other * **Deep Learning frameworks:** Torch / PyTorch, Tensorflow, CUDA/CuDNN GPU Accelerations * **LLMs Platforms & Frameworks:** LangChain, OpenAI, Anthropic, Cohere and more * **Vector Databases:** Pinecone, Chroma, Milvus, Superbase, PgVector * **Restful APIs:** with Flask, Fast, Nginx, Gunicorn, Locust * **Cloud Platforms:** Google Cloud (Compute, GCS), Paperspace, AWS (EC2, S3), Azure * **Deploy models at scale:** optimize your cloud cost with Replicate, Salad, Modal.com * **Hardware:** CPU, GPU/Multi-GPU, TPU, Raspberry PI 4, Coral Dev Board, Nvidia Jetsen TX2 & others * **Edge Accelerators:** Coral Accelerator, Intel Movidius Neural Stick * **OS:** Linux, Windows, MacOS; Containers: Kubernetes, Docker **CERTIFICATIONS** * Generative AI with Large Language Models - DeepLearning.AI & AWS * Machine Learning – Stanford University * Data Science – R Programming
Machine Learning • 9 yrsNLP (Natural Language Processing) • 9 yrsPython • 9 yrsDeep Learning • 9 yrsComputer Vision • 9 yrsAWS SageMaker • 6 yrsTensorFlow • 6 yrsPyTorch • 6 yrsLangchain • 2 yrsAmazon EC2OpenAIMachine Learning DeploymentLLMPinecone
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Ready to hire your ideal freelance Generative Models developers?
Get startedIn 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 Generative 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 Generative Models developers can help keep your website up-to-date.
To hire a Generative 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 Generative Models developers effectively and efficiently. Hire full-time Generative 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 Generative 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 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Generative 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 Generative Models developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Generative 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 Generative 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 Generative Models developers, consider niche platforms like Arc that naturally attract and carefully vet their Generative Models developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Generative Models developer candidates.
Some factors to consider when you hire Generative 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 Generative Models developers for hire.
Writing a good Generative Models developer job description is crucial in helping you hire Generative 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 Generative 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 Generative Models programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Generative 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 Generative 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 Generative Models developers to keep up with evolving technology and requirements.
You can find a variety of Generative 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 Generative Models programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Generative 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 Generative Models 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 Generative 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 Generative Models developers.
Every Generative 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 Generative 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 Generative 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Generative 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 Generative 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 Generative Models developers, you can rest assured that all remote Generative Models 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 Generative Models developers before we present them to you. As such, all the remote Generative 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 350,000 candidates. You can also expect to hire a freelance Generative Models programmer in 72 hours, or find a full-time Generative 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 Generative Models developers.
Depending on the freelance developer job board you use, freelance remote Generative Models developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Generative 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 Generative 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.
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 Generative 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.
Arc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.