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Saurabh A., Reinforcement Learning freelance developer
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Saurabh A.

Vetted Reinforcement Learning developer in the United States (UTC-4)

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 yrsPythonAIPyTorchData ScienceLarge Language ModelsGenerative AIPeople ManagementRetrieval-Augmented GenerationSQLLeadershipTeam CoachingWriting SkillsTestingDevelopment
+9
Generative AI, People Management, Retrieval-Augmented Generation, SQL, Leadership, Team Coaching, Writing Skills, Testing, Development
Gopal C., freelance Reinforcement Learning developer
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Gopal C.

Vetted Reinforcement Learning developer in the United States (UTC-5)

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.

Startup experienceMachine learning • 5 yrsReinforcement Learning • 2 yrsDeep LearningPythonGitSQLAWSDjangoSeleniumTensorFlowPerformance OptimizationPyTorchLarge Language ModelsC++BashPandasData ScienceAirflowData VisualizationDashFault Management
+14
Django, Selenium, TensorFlow, Performance Optimization, PyTorch, Large Language Models, C++, Bash, Pandas, Data Science, Airflow, Data Visualization, Dash, Fault Management
Daniel K., freelance Reinforcement Learning programmer
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Daniel K.

Vetted Reinforcement Learning developer in the United Kingdom

With 9 years of seasoned expertise in fullstack development, 6 years focused on machine learning, and a strong foundation in DevOps, I offer a comprehensive skill set. From architecting sophisticated applications to orchestrating CI/CD pipelines and managing AWS infrastructure, I consistently deliver innovative solutions across the software development lifecycle.

Machine learning • 6 yrsReinforcement LearningFull StackNode.jsJavaScriptPythonDevOpsReactFlaskNLPAWSWeb DevelopmentLarge Language ModelsC++AzureDockerData ScienceGoogle Cloud PlatformJestKubernetesPyTorchExpress.jsDjangoGitJiraData analyticsTensorFlowCI/CD
+21
React, Flask, NLP, AWS, Web Development, Large Language Models, C++, Azure, Docker, Data Science, Google Cloud Platform, Jest, Kubernetes, PyTorch, Express.js, Django, Git, Jira, Data analytics, TensorFlow, CI/CD
Christian N., Reinforcement Learning freelance coder
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Christian N.

Vetted Reinforcement Learning developer in Germany (UTC+2)

I have a background in theoretical physics and have worked on machine learning and data science-related topics since 2016. Since then, I have published multiple peer-reviewed papers on machine learning as part of the autonomous driving unit at Mercedes Benz AG and worked as a data science consultant/developer for DAX-listed companies. Others would describe me as creative in my thinking, excelling at finding new ways to tackle problems. I love intellectual challenges that keep me engaged and thrive in cooperative working environments. I am a very self-directed person who can quickly identify what needs to be done and act accordingly. On top of that, my strengths are communicating complex ideas at an appropriate level and holding engaging presentations.

Machine learning • 7 yrsDeep Learning • 5 yrsReinforcement Learning • 3 yrsMachine Learning ResearchPythonData ScienceComputer VisionPyTorchGoogle Cloud PlatformDockerNLPGitLinuxBashPowerPointClusteringConsultingForecastingAgileAI LabelingFlutterFlowScikit-learnOpenAI APIsLangchainResearchAnomaly DetectionSQLRExcelExcel VBA
+23
PyTorch, Google Cloud Platform, Docker, NLP, Git, Linux, Bash, PowerPoint, Clustering, Consulting, Forecasting, Agile, AI Labeling, FlutterFlow, Scikit-learn, OpenAI APIs, Langchain, Research, Anomaly Detection, SQL, R, Excel, Excel VBA
Umar A., Reinforcement Learning developer for hire
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Umar A.

Vetted Reinforcement Learning developer in Finland (UTC+1)

Hi there! I'm a software engineer with 5+ years of experience with solid computer science fundamentals who works mostly with Python, Golang and JavaScript. I was responsible for designing, developing and deploying a cloud-native microservices ad revenue system that generated more than $7 million in less than 6 months with more than 80% user retention rate. I also have academic and practical machine learning experience building applications using the latest ML tools such as LLMs, RAGs. I'm always up to date with my skillset to ensure I deliver exceptional and cutting-edge solutions.

Machine learningReinforcement LearningNode.jsPythonGoRESTful APISQLCI/CDDocker & KubernetesJavaAWSGraphQLScikit-ImagePyTorchFastapiGitFirebaseDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesVuexVue.jsPHPAndroidjQueryHerokuTypeScriptFlutter
+23
CI/CD, Docker & Kubernetes, Java, AWS, GraphQL, Scikit-Image, PyTorch, Fastapi, Git, Firebase, Docker, Google Cloud Platform, JavaScript, Kubernetes, Microservices, Vuex, Vue.js, PHP, Android, jQuery, Heroku, TypeScript, Flutter
Ramon L., freelance Reinforcement Learning developer
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Ramon L.

Vetted Reinforcement Learning developer in Brazil (UTC-3)

I am a Research scientist in machine learning and computer vision. I received a B.S. in Electrical Engineering in 2008, M.S. in Computer Engineering in 2015, and Ph.D. in Computer Engineering in 2020. I also worked as an instrumentation engineer at Chemtech - A Siemens Company from 2008-2010 and as a solar energy engineer at Gas Technology Center and Renewable Energy (CTGAS-ER) from 2011-2013.

Startup experienceMachine learning • 3 yrsReinforcement Learning • 2 yrsComputer VisionPythonOpenCVGitPyTorchAWSC++DockerPostgreSQLGitHubPython 3Microsoft SQL ServerParallel ProgrammingLinuxLaTeXMATLABTensorFlowKeras
+13
AWS, C++, Docker, PostgreSQL, GitHub, Python 3, Microsoft SQL Server, Parallel Programming, Linux, LaTeX, MATLAB, TensorFlow, Keras
Casey S., freelance Reinforcement Learning developer
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Casey S.

Vetted Reinforcement Learning developer in Argentina (UTC-6)

I am a thinker, writer, teacher, communicator, mathematical researcher (in **patterns and probability**), as well as a numpy, scipy, pandas, scikit-learn, jupyter, anaconda, web2py focused **Python** user. I am also a formal logic/inference, probabilistic inference, and rational decision making - **machine learning** - lifetime enthusiast. I have four college degrees from four different reputable four year American institutions. I am passionate about helping others in their pursuits and passionate about my own coding and analysis projects as well. I have extensive experience as a teacher, and can meet the student at the level of their ability.

Machine learning • 10 yrsReinforcement LearningPythonProbabilityDockerNumPyPandasMathematicsData ScienceLinuxInformatica
+4
Mathematics, Data Science, Linux, Informatica
X J., top Reinforcement Learning developer for hire
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X J.

Vetted Reinforcement Learning developer in Morocco (UTC+1)

\* PhD in Engineering Sciences from Dartmouth specializing in 3D computer modeling and simulation. \* Pioneer in 3D computer graphics for both critical missions and TV weather. \* Over 20 years as dedicated software developer in broad spectrum. \* 10 years of adventures in financial machine learning and algorithmic trading. \* 7 years in development of Android and cross-platform apps including open-source projects. \* 7 years as digital nomad and world traveler with extended experiences in over 20 countries. \* 5 years in management, marketing, sales and BD for multi-national companies. Skills: \* Kotlin, Java, Python, Julia, C/C++, JavaScript, Flutter, React \* Linux, Android, OpenGL, Compose, Databases (SQL, NoSQL), Networking \* Computer Graphics, Modeling, Data Analysis, Machine Learning, E-Learning \* Management, Marketing, Sales, BD, Financial Analysis, Algorithmic Trading Avocation: Music, violin, reading, yoga, running, swimming, bicycling, nature

Machine learningReinforcement LearningPythonAndroidKotlinLinuxJavaOpenGLJuliaJavaScriptReact NativeJetpack ComposeSQLDjangoNode.jsGitDatabaseGitHubNoSQLAndroid StudioGitLabReactNLPNetworkAndroid SDKKivyIntellijGraphicsFlutterCloudData analysisCloud HostingModellingAlgorithmic tradingTradingTensorFlow
+29
OpenGL, Julia, JavaScript, React Native, Jetpack Compose, SQL, Django, Node.js, Git, Database, GitHub, NoSQL, Android Studio, GitLab, React, NLP, Network, Android SDK, Kivy, Intellij, Graphics, Flutter, Cloud, Data analysis, Cloud Hosting, Modelling, Algorithmic trading, Trading, TensorFlow
Chandan D., Reinforcement Learning freelance developer
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Chandan D.

Vetted Reinforcement Learning developer in India (UTC+6)

I am a Senior Machine Learning Engineer with experience in developing and deploying efficient AI models to solve business problems. I have expertise in building scalable solutions by leveraging various industry-standard technologies like Docker, Kubernetes, APM solutions, SDLC, and REST API frameworks.

Machine learning • 5 yrsDeep LearningDeep Reinforcement LearningC++FlaskKubernetesDockerONNXComputer VisionPythonAIMLOpsSQLPython 3NLPGraph DatabaseApache KafkaTensorFlowAirflowPyTorchApache FlinkKubeflowMLflowFastapiAWSStable DiffusionLLMEvidently AIRGPUClassificationBERTGrafanaRecommender SystemsPrometheusC#LinuxAzureSDKNeural NetworksMXNetEdge Computing
+35
ONNX, Computer Vision, Python, AI, MLOps, SQL, Python 3, NLP, Graph Database, Apache Kafka, TensorFlow, Airflow, PyTorch, Apache Flink, Kubeflow, MLflow, Fastapi, AWS, Stable Diffusion, LLM, Evidently AI, R, GPU, Classification, BERT, Grafana, Recommender Systems, Prometheus, C#, Linux, Azure, SDK, Neural Networks, MXNet, Edge Computing
varun S., freelance Reinforcement Learning developer
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varun S.

Vetted Reinforcement Learning developer in India (UTC+6)

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 LearningPythonOpenAINLPTensorFlowAIComputer VisionData ScienceLoraLangchainOpenCVAzureLLMSQLDockerGoogle Cloud PlatformApache SparkKubernetesRecommender SystemsAirflowCI/CDDatabricksGitHub ActionsMLflowFastapiMLOpsDistributed Systems EngineeringBashGPU AccelerationAWS SageMakerAWS
+26
AI, Computer Vision, Data Science, Lora, Langchain, OpenCV, Azure, LLM, SQL, Docker, Google Cloud Platform, Apache Spark, Kubernetes, Recommender Systems, Airflow, CI/CD, Databricks, GitHub Actions, MLflow, Fastapi, MLOps, Distributed Systems Engineering, Bash, GPU Acceleration, AWS SageMaker, AWS

Discover more freelance Reinforcement Learning developers today

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Arc helps you build your team with our network of full-time and freelance Reinforcement Learning developers worldwide, spanning 190 countries.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.

FAQs

Why hire a Reinforcement Learning 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 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 Reinforcement Learning developers can help keep your website up-to-date.

How do I hire Reinforcement Learning developers?

To hire a 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 Reinforcement Learning developers effectively and efficiently. Hire full-time 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 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 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted 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 Reinforcement Learning developer for your company, and let Arc handle the logistics.

Where do I hire the best remote Reinforcement Learning developers?

There are two types of platforms you can hire 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 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 Reinforcement Learning developers, consider niche platforms like Arc that naturally attract and carefully vet their Reinforcement Learning developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Reinforcement Learning developer candidates.

Some factors to consider when you hire 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 Reinforcement Learning developers for hire.

How do I write a Reinforcement Learning developer job description?

Writing a good Reinforcement Learning developer job description is crucial in helping you hire 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 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 Reinforcement Learning programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Reinforcement Learning engineer?

The top five technical skills 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 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 Reinforcement Learning developers to keep up with evolving technology and requirements.

What kinds of Reinforcement Learning programmers are available for hire through Arc?

You can find a variety of 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 Reinforcement Learning programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote 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 Reinforcement Learning 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 Reinforcement Learning developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled 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 Reinforcement Learning developers.

Every 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 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 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.

How does Arc vet a developer’s Reinforcement Learning skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted 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 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 Reinforcement Learning developers, you can rest assured that all remote Reinforcement Learning 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 Reinforcement Learning developers on Arc?

Arc pre-screens all of our remote Reinforcement Learning developers before we present them to you. As such, all the remote 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 450,000 candidates. You can also expect to hire a freelance Reinforcement Learning programmer in 72 hours, or find a full-time 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 Reinforcement Learning developers.

How much does a freelance Reinforcement Learning developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Reinforcement Learning developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find 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 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.

How much does it cost to hire a full time Reinforcement Learning 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 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 Reinforcement Learning developers, check out our FAQs page.

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