Arc helps you find and hire top freelance Deep Reinforcement Learning engineers for your jobs. With 2,564 Deep Reinforcement Learning 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 Deep Reinforcement Learning developers and experts that you can trust.
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Freelance Deep Reinforcement Learning Developer
I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
Machine Learning • 5 yrsReinforcement Learning • 2 yrsDeep Learning
Python • 5 yrs
Git • 5 yrs
SQL • 2 yrs
AWS • 1 yrs
Django
Selenium
TensorFlowPerformance OptimizationPyTorchLarge Language Models
C++BashPandas
Data ScienceAirflowData VisualizationDashFault Management
Senior Deep Reinforcement Learning Developer
Experienced AI/ML Engineer with over 5 years of full-stack AI/ML solution development, specializing in Large Language Models (LLM), Generative AI, and GPT. Proficient in integrating state-of-the-art research into practical AI architectures successfully implemented LLM and Generative AI products in media and entertainment sectors. My leadership skills are demonstrated through guiding a team of five in AI/ML innovations, fostering a culture of continuous learning and innovation § **END-TO-END AI/ML SOLUTIONS:** Demonstrated proficiency in full-stack AI/ML development, with a comprehensive background in **_LLM, Generative AI, Computer Vision, NLP, MLOps, and data engineering_,**leading to the delivery of robust AI products and actionable solutions for complex business challenges. § **STRATEGIC AI LEADERSHIP:** As a team leader and mentor, **guided AI/ML teams in developing and executing visionary AI** strategies aligned with company goals. This includes **managing vendor relations, heading project teams, and fostering a culture of continuous innovation and learning.** § **AI RESEARCH AND DEVELOPMENT_:_** Adapted cutting-edge research into practical applications, significantly **enhancing AI architectures for business use cases.** Notably authored **award-winning research** papers on digital governance and developed predictive models for e-governance, earning recognition in national reports. § **Diverse AI Framework Proficiency:** Showcased versatility across multiple AI platforms and tools, including **TensorFlow, PyTorch, FastAPI, and various cloud services**. This also encompasses the deployment of machine learning models, **leveraging Docker, Kubeflow, and MLflow, and optimizing infrastructure for scalability**.
Machine Learning • 5 yrsReinforcement LearningDeep LearningPython • 5 yrsOpenAI • 1 yrsNLP • 5 yrsTensorFlow • 5 yrs
AI • 5 yrsComputer Vision • 5 yrsData Science • 5 yrsLora • 1 yrsLangchain • 1 yrsOpenCVAzureLLMSQL
Docker
Google Cloud PlatformApache SparkKubernetesRecommender SystemsAirflowCI/CDDatabricksGitHub ActionsMLflowFastapiMLOpsDistributed Systems EngineeringBashGPU AccelerationAWS SageMakerAWSSenior Freelance Deep Reinforcement Learning Developer
As a highly skilled and experienced professional with a Master’s degree in Liberal Arts in Data Science, I excel in data-driven decision-making. With expertise in automation of data acquisition, data analysis, predictive models, image analysis/classification, and language models, I am well-versed in harnessing the power of big data to drive strategic insights and outcomes. My passion for data flows through my veins, and my keen eye for numbers allows me to decipher complex patterns and trends and provide context and support for your informed decisions. As a specialist in difficult matters, I thrive in challenging situations and possess a proven track record of solving complex problems efficiently. I believe in the value of active listening, ensuring that I fully understand the nuances of any situation before offering strategic solutions. My expertise in leveraging cutting-edge technologies, deep understanding of data-driven decision-making, and education from the Faculty of Arts and Sciences of Harvard University make me a valuable asset in any business environment.
Machine learning • 5 yrsDeep Reinforcement Learning • 1 yrsDeep LearningPython • 7 yrsData Science • 5 yrsAI • 5 yrsGitHub • 5 yrsTensorFlow • 5 yrsComputer Vision • 5 yrsOpenCV • 3 yrsNLP • 2 yrsSQLPandasJenkins
GitLabApache Spark
Apache HadoopDask
Senior Freelance Deep Reinforcement Learning Developer
I have extensive experience in quantitative mI’m a Data Scientist and Machine Learning Engineer working in multiple applications and getting the best insights out of data, the 21st Century gold. I enjoy turning complex problems into simple, practical, innovative, and impactful solutions. My job is to create end-to-end Machine Learning products alongside performing hands-on data analyses over enormous datasets toward detecting patterns and inducing better data-driven decision making. With over 6 years of industry experience, I have applied quantitative analysis, experiment design, and develop machine learning models for diverse business solutions. Throughout this experience, I have had the opportunity to design and create models that are helping organizations manage risk behavior profiles, reduce tax gaps, and build advanced analytical engines for forecasting and detecting deviations from unstructured information., and conducted exploratory variable research.
Machine Learning • 7 yrsDeep Reinforcement LearningMachine Learning ResearchDeep LearningAI • 7 yrsPython • 7 yrsSQL • 7 yrsTensorFlow • 7 yrsData Science • 7 yrsComputer Vision • 5 yrsNLP • 5 yrsPyTorch • 4 yrs
R • 3 yrsExcel VBAOracle PL/SQLPredictive AnalyticsPredictive modelingResearchResearch PapersBashAnalyticsCloud Computing PlatformsSenior Freelance Deep Reinforcement Learning Developer
I am a full stack Senior data scientist with exceptional experience on AI related positions more than 6 years. I well equipped with strong mathematical and technologies background, ranging from classical ML to latest generative AI. As a data scientist, I am seeing technologies as the bright side of the solutions for the difficulties what we face right now and in the future. I am glad to be able being a part of the frontier to this competition.
Machine Learning • 6 yrsReinforcement Learning • 3 yrsDeep LearningDeep Reinforcement LearningData Science • 6 yrsNLP • 6 yrsPython • 7 yrsAI • 6 yrsComputer Vision • 5 yrsPyTorch • 5 yrsRecommender SystemsAWSPrompt EngineeringDocker
LinuxAzureSenior Deep Reinforcement Learning Developer
I’m a dynamic and enthusiastic professional with strong educational background and comprehensive knowledge of data analysis, machine learning, research, and statistical modelling. I possess robust expertise in evaluating and analyzing large data sets, and applying statistical and machine learning technique to business metrics, and generate accurate insights and predictions. I’m able to devise data-driven solutions for complex business problems, communicate with wide-range of audiences, and effectively work on open-ended problems with limited guidance.
Machine Learning • 3 yrsReinforcement Learning • 2 yrsComputer Vision • 4 yrsPython • 4 yrsNLP • 3 yrsTensorFlow • 3 yrsPyTorch • 3 yrsSenior Freelance Deep Reinforcement Learning Developer
Senior Software Engineer with 10+ years of expertise in domain of distributed computing, Software Development Lifecycle, DevOps, Cloud Architecture.
Machine Learning • 2 yrsMicroservices • 10 yrsLinux • 10 yrsDistributed Systems Engineering • 10 yrsC++ • 10 yrs
C# • 10 yrs
.NET • 10 yrsPowerShell • 10 yrsPython • 10 yrsAzure • 9 yrsAlgorithm • 8 yrs
DevOps • 8 yrsStatistics • 8 yrsGit • 8 yrsDistributed Systems Design • 7 yrsContainerization • 7 yrsDocker • 7 yrs
Visual Studio • 7 yrsObject-Oriented Programming • 6 yrsRESTful API • 5 yrs
JavaScript • 5 yrs
Java • 5 yrs
MATLAB • 5 yrs
Front-End • 4 yrsBash • 4 yrsComputer Vision • 4 yrs
ASP.NET • 4 yrsSecurity engineering • 3 yrs
Red Hat • 3 yrsSQL • 3 yrs
Mobile App Development • 2 yrsVirtualization • 2 yrs
Unity • 1 yrsJenkins • 1 yrsAnsible • 1 yrs
Node.js • 1 yrsWPFDesktop Applications
HTML/CSSDjango
jQuery
Bootstrap
Senior Freelance Deep Reinforcement Learning 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!
Machine Learning • 9 yrsDeep Learning • 9 yrsSupervised LearningReinforcement LearningUnsupervised LearningAI • 9 yrsData Science • 9 yrsData Analysis • 9 yrsNLP • 9 yrsTensorFlow • 9 yrsComputer Vision • 9 yrsPython • 9 yrsGenerative AI • 2 yrsSQLGitRAzureVersion controlAutomationScalabilityClassificationAnalysisDockerCollaborationClusteringText ProcessingDeployGoogle Cloud PlatformDashboardsLeadershipStrategyData VisualizationResearchNeural Networks
Software DevelopmentA/B testingPresentationsText ClassificationApplication DevelopmentModellingContainerizationContinuous DeploymentKubernetesTechnical WritingApache HadoopKerasRecurrent neural networksData CleaningData IntegrationAgileData EngineeringData LakePerformance OptimizationData WarehouseProblem SolvingPyTorchData QualityDomain ExpertiseCommunication SkillsProgram ManagementGenerative ModelsStatistical AnalysisTime Series AnalysisBayesian StatisticsReport DesignData GovernanceBig data technologiesCloud Computing PlatformsSentiment TaggingTokenizationFeature ModelingTransformersData-Driven SecurityHuggingfaceCritical ThinkingRegression modellingMicrosoft Business IntelligenceSoftware ArchitectureNatural Language ToolkitAWSMultivariate AnalysisExperimentationNoSQLData MiningAlgorithmTableauQlikViewMicroservicesData processing
Microsoft Power BIPredictive modelingStatistical ProgrammingDevOps
Senior Deep Reinforcement Learning Developer
I am a data scientist with over 7 years of experience in software development. I have worked on various projects including real-time bidding, natural language processing, computer vision, and applied machine learning. I have expertise in topics such as topic modeling, word2vec, and doc2vec. I have also implemented algorithms to solve multi-class imbalance problems and open-set classification problems. Additionally, I have experience in debiasing word embeddings and diversifying search engine results. I am skilled in Python, SQL, and various machine learning frameworks such as sklearn, TensorFlow, and Pytorch.
Machine Learning • 5 yrsReinforcement LearningDeep LearningData Science • 5 yrsPython • 5 yrsAI • 6 yrsNLP • 3 yrsTensorFlow • 3 yrsComputer Vision • 3 yrsSpeech RecognitionPyTorchAWS
PerlJavaSQL
Database
Senior Freelance Deep Reinforcement Learning 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 yrsDeep Reinforcement Learning • 5 yrsPython • 9 yrsAI • 7 yrsPyTorch • 6 yrsData Science • 5 yrsLarge Language Models • 3 yrsGenerative AI • 3 yrsPeople Management • 2 yrsRetrieval-Augmented Generation • 1 yrsSQLLeadershipTeam CoachingWriting SkillsTestingDevelopment
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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 Deep Reinforcement Learning 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 Deep Reinforcement Learning developers can help keep your website up-to-date.
To hire a Deep Reinforcement Learning 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 Deep Reinforcement Learning developers effectively and efficiently. Hire full-time Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning developers, consider niche platforms like Arc that naturally attract and carefully vet their Deep Reinforcement Learning developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Deep Reinforcement Learning developer candidates.
Some factors to consider when you hire Deep Reinforcement Learning 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 Deep Reinforcement Learning developers for hire.
Writing a good Deep Reinforcement Learning developer job description is crucial in helping you hire Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning developers to keep up with evolving technology and requirements.
You can find a variety of Deep Reinforcement Learning developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Deep Reinforcement Learning programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Deep Reinforcement Learning developers.
Every Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning developers, you can rest assured that all remote Deep Reinforcement Learning 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 Deep Reinforcement Learning developers before we present them to you. As such, all the remote Deep Reinforcement Learning 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 Deep Reinforcement Learning programmer in 72 hours, or find a full-time Deep Reinforcement Learning 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 Deep Reinforcement Learning developers.
Depending on the freelance developer job board you use, freelance remote Deep Reinforcement Learning developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning 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 Deep Reinforcement Learning developers, check out our FAQs page.
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