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390 Remote Deep Reinforcement Learning developers and experts available to hire:

Remote Deep Reinforcement Learning consultant - Chandan D.
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Chandan D.

Vetted Deep 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.

Remote Deep Reinforcement Learning consultant - varun S.
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varun S.

Vetted Deep 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**.

Remote Deep Reinforcement Learning consultant - Nikita M.
Nikita M.

Remote Deep Reinforcement Learning developer in India (UTC+6)

I’m **Nikita Mehrotra**, researcher at Microsoft and PhD in Computer Science, with over 8 years of hands-on experience building AI-driven developer tools. I specialize in: * **AI-for-Software-Engineering**: Architecting and deploying large-language-model systems for program transformation, code migration, automated program repair, etc. * **Neuro-Symbolic Methods**: Designing pipelines that blend symbolic execution, static analysis, and LLM prompting . * **Multi-Agent LLM Architectures**: Building and orchestrating agentic workflows (RAG, ReAct) for structured data extraction and task automation. * **Data Extraction & Debugging**: End-to-end solutions in Python, C#, JavaScript—debugging, performance tuning, and scalable code review. On Codementor, I help students and professionals with: * Live 1:1 debugging and code reviews * Homework assignments in Python, C#, Java, and JavaScript * Designing prompt-engineering strategies for LLM-based tasks * Implementing and optimizing neuro-symbolic workflows I’m patient, detail-oriented, and committed to guiding you from first principles to production-ready code. Let’s tackle your next coding challenge together! **24/7 communication and faster delivery are my greatest plus.** Please don't hesitate to message me if you have some question, want some help, or want to schedule a session. \*\* **Full refund I could not do your work or satisfy you.**

Remote Deep Reinforcement Learning engineer - Aayush A.
Aayush A.

Remote Deep Reinforcement Learning developer in India (UTC-8)

Hi, I’m **Aayush Agrawal**, a **Lead Machine Learning Engineer** with **7+ years of experience** developing innovative solutions in **NLP/LLMs**, **reinforcement learning**, and **computer vision**. I thrive on building scalable machine learning models to solve real-world challenges across industries like **EdTech**, **transportation**, and **FMCG**. **What I Do** * **NLP & LLMs**: Built multi-task NLP models (summarization, Q&A) using **LoRA** to optimize massive 11B-parameter models. Created a grammar correction model trained on **40M+ data points**. * **Optimization & Efficiency**: Reduced logistics costs by **15%** (~1M INR/day) with RL-based LineHaul solutions. Delivered shrinkage detection for retail using **YOLOv5** and SORT algorithms. * **AI Solutions**: Developed **TinyLlama** to classify academic answers, a chatbot using **LangChain**, and speech-to-text models with a WER of **9%**. **Skills** I specialize in **Python**, **TensorFlow**, **PyTorch**, **Docker**, **Kubernetes**, and cloud platforms like **AWS** and **GCP**. I’m passionate about creating seamless, end-to-end ML pipelines that make an impact. **Let’s Connect** If you're looking for someone to design, build, and deploy cutting-edge ML solutions, let’s connect!

Remote Deep Reinforcement Learning engineer - Satyam P.
Satyam P.

Remote Deep Reinforcement Learning developer in India (UTC+6)

As a seasoned data scientist with a decade of experience, I specialize in building and scaling AI-driven solutions that deliver measurable business impact across the healthcare insurance, fintech, retail, eCommerce, IoT, and government sectors. My expertise spans—from advanced analytics and machine learning to deep learning and the latest advancements in generative AI and large language models. I have a proven track record of leading cross-functional teams and transforming ideas into production-ready solutions. At Tiger Analytics, I scaled a data science team from 1 to 25, delivering high-value projects for a Fortune 50 healthcare insurer—including predictive models that saved $2M per quarter in direct mail costs associated with senior health screening campaigns, fraud detection systems for pharmacy claims with 92% precision to avoid unnecessary audits, and NLP automation for call centers that halved audit times and eliminated bias. My work on recommendation engines for eCommerce and IoT-powered pet smart devices has directly driven multi-million-dollar revenue growth and product innovation for a global CPG firm. Technically, I am fluent in Python, SQL, Machine Learning, Deep Learning, and cloud platforms. I build robust ETL pipelines, deploy models via Docker and MLflow, and integrate seamlessly with business workflows through APIs and automated dashboards. My approach emphasizes best practices in MLOps, reproducibility, and operational excellence. Beyond technical delivery, I am passionate about mentoring and fostering a culture of continuous learning and innovation. My recent certifications in product management (Duke CE) and generative AI with Large Language Models (Coursera) reflect my commitment to bridging technical solutions with strategic business needs. I thrive in remote-first, collaborative environments that value creativity, adaptability, and the transformative power of data. After a recent career break dedicated to health, global travel, and upskilling, I am energized to contribute to ambitious teams as a senior individual contributor or data science leader. If you are seeking someone who combines deep technical expertise, business acumen, and a proven ability to deliver results at scale, let’s connect. **Open to:** Remote data science and machine learning roles—senior IC or leadership—where innovation, impact, and growth are valued.

Remote Deep Reinforcement Learning expert - Brungi S.
Brungi S.

Remote Deep Reinforcement Learning developer in India (UTC+6)

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.

Remote Deep Reinforcement Learning architect - Lukish Y.
Lukish Y.

Remote Deep Reinforcement Learning developer in India (UTC-7)

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!

Remote Deep Reinforcement Learning coder - Alakh S.
Alakh S.

Remote Deep Reinforcement Learning developer in India (UTC-7)

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.

Remote Deep Reinforcement Learning architect - Aditee L.
Aditee L.

Remote Deep Reinforcement Learning developer in India (UTC+6)

I have over 4 years of experience as a Data Scientist and Machine Learning Engineer, including a significant tenure at Turing, where I worked remotely on high-impact projects for global clients like Microsoft and Meta. At Turing, I contributed to initiatives such as Meta CodeBench and supervised fine-tuning tasks, focusing on large language models and performance evaluation. My career goal is to continue building innovative AI solutions that solve real-world problems, while growing into a technical leadership role in a fully remote, globally collaborative environment.

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Why clients hire Deep Reinforcement Learning developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Deep 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 Deep Reinforcement Learning developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Deep Reinforcement Learning developers can help keep your website up-to-date.

How do I hire Deep Reinforcement Learning developers?

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 developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted 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 developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Deep Reinforcement Learning developers?

There are two types of platforms you can hire Deep Reinforcement Learning developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find 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 developers.

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.

How do I write a Deep Reinforcement Learning developer job description?

Writing a good Deep Reinforcement Learning developer job description is crucial in helping you hire Deep Reinforcement Learning developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote 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 developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Deep Reinforcement Learning developer?

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 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.

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

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 developers, 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 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.

Why is Arc the best choice for hiring Deep Reinforcement Learning developers?

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. 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 developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Deep Reinforcement Learning developer's skills?

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.

How long does it take to find Deep Reinforcement Learning developers on Arc?

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 450,000 candidates. You can also expect to hire a freelance Deep Reinforcement Learning developer in 72 hours, or find a full-time Deep Reinforcement Learning developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Deep Reinforcement Learning developers.

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

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.

How much does it cost to hire a full time Deep Reinforcement Learning developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote 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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