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Vetted Reinforcement Learning developer in Nigeria (UTC+1)
I hold a [B.Sc](http://b.sc/). in Computer Science and I am a Competent Business and Data Analyst with over 7 years proven experience in Data Analytics, and with an incredible background in Data Science including Database development/deployment (RDBA), data extraction, transformation and loading for analytics using diverse tools including MS-Excel, MySQL, Power BI/Power Query, Python/Pandas & NumPy, and data modelling (predictive modelling -Machine Learning). I am currently working as Business and Data Analyst in Shell Petroleum Development Company of Nigeria Limited on a Contract role. The role involves translating complex data (Big Data) into actionable insights/virtualization to support Business decisions by stakeholders geared towards HSSE incident prevention, increased production, behavioral change, and general Business performance. I am currently taking some courses in Big Data Analytics at the Scholars International of Institute Technology (SIIT) from the United States. This Diploma Certificate Program covers a number of analytics tools such as Hadoop, Kafka, Apache H-Base, Splunk's, Talend, Apache Spark for real-time processing. decision-making.
Vetted Reinforcement Learning developer in Nigeria (UTC+1)
Experienced Data Scientist and Researcher with a Master's in Computer Science and with an executed several projects with effective integration of Machine Learning and artificial intelligence, which have attracted several awards. I specialize in the effective utilization of AI and have helped several organizations define their path in the use of this transformative technology (AI). I'm dedicated to seeing more people achieve their dream goals as they learn skills in Artificial Intelligence
Vetted Reinforcement Learning developer in Nigeria (UTC-5)
This is Samuel Software Engineer and lecturer, I am excited to introduce myself to you. I have been passionate about this industry to work as dedicated AI Engineer with over three years of experience in developing and deploying AI applications and Saas business, specializing in machine learning, deep learning, with Next.js and AWS services. Proven track record in delivering end-to-end AI solutions that enhance user experience and operational efficiency. Seeking a challenging role where I can leverage my expertise in AI and ML, NLP, Generativeai MLOPS and LLMOPS to contribute to innovative projects in a dynamic, forward-thinking environment. for many years and have dedicated myself to continually learning and growing within this dynamic industry. what excites me most about Organization position is the opportunity to work with forward thinking teams and contribute to innovative projects that a real impact. I'm particularly to drawn to the collaborative environment and the chance to work with cutting edge technologies. To top the three reason you should hire my proven track record of success. My strong analytical and problem skills and my dedication exceptional results. I am available to start immediately upon hiring. I am willing to work according to time zone in order to have good communication and team work. Thanks
Vetted Reinforcement Learning developer in Nigeria (UTC+1)
7+ years expertise in advanced machine learning and deep learning, I specialize in optimizing data processing and driving impactful decision-making. I’ve led projects resulting in significant reductions in model deployment and data loading times, alongside substantial capital savings. From spearheading innovative solutions to orchestrating efficient ETL pipelines, I consistently deliver high-impact results.
Vetted Reinforcement Learning developer in Nigeria (UTC+1)
• Autonomous critical thinker, with broad analytical skills with over 5 years of experience with conceptualizing, managing and applying problem solving skills to data projects. • Proficient engineer, with practice in data collection, processing, analysis, modeling, deployment and communication through end-to-end data science projects done in large (50+ members) and international collaborations. • Versatile analyst, with broad experience in implementing and delivering data-driven solutions to real world problems such as disaster response, environmental protection and object detection in satellite imagery, in projects carried out in collaboration with private and humanitarian organizations.
Vetted Reinforcement Learning developer in Nigeria (UTC+1)
Accomplished software engineer with over 5+ years of successful experience in Java, Go, Python Javascript Node.js, and other backend technologies. Recognized consistently for performance excellence and contributions to success in full-stack development. Strengths in developing scalable cloud-based systems and microservices backed by training in startups. As a backend developer and machine learning engineer, I have implemented performant REST APIs, optimized databases, and created machine learning models. I advocate for improvements to product quality, security, and performance. I possess expert-level skills in Test Driven Development (TDD), Clean Architecture, and other best practices. My experience includes leading development of fintech solutions, building mobile apps, working with blockchain platforms, and open source development. I am adept at gathering requirements, analyzing data, and communicating results. I collaborate cross-functionally to deliver projects efficiently. Overall, I am a driven full stack developer and quick learner seeking to utilize my diverse skillset to build innovative products.
Vetted Reinforcement Learning developer in Nigeria (UTC+1)
A Data Professional with over 5 years of combined experience designing and building Data Science, Machine Learning, MLOPS and Data Engineering solutions to make impact by solving business problems. I use Python to perform Data related tasks such as data wrangling, data analytics, data visualization, model building, and model deployment. I also use tools like Pandas, scikit-learn, SQL, NOSQL, Matplotlib, AWS and Spark for Big Data engineering. I have built and deployed Machine Learning models mainly in the Fintech space and completed various data engineering solutions for data migration and ETL/ELT pipelines especially for Big Data using PySpark, Hadoop, Airflow and Jenkins. I also have MLOPS experience in building ML pipelines from Data gathering to model deployment and monitoring for both cloud and On-prem infrastructure.
Vetted Reinforcement Learning developer in Nigeria (UTC+1)
Tech savvy and consummate professional with 5 years experience in software development and end-to-end advanced analytics projects management. Proven success in developing and utilising statistical analysis and machine learning techniques, integrating Cloud technologies, and ensuring scalable AWS infrastructure maintenance. Adept at operating with relational databases and leveraging diverse platforms for distributed information extraction and data processing. Expert at conducting and participating in code reviews, cross-functional teams, improving cost-efficiency, identifying opportunities for automation, troubleshooting issues, and meeting set standards. Proficient in overseeing scalable Kubernetes environments, implementing web applications, and augmenting functional productivity.
Vetted Reinforcement Learning developer in Nigeria (UTC+1)
Python geek with a strong background in data extraction, automation, processing and storing, with high level expertise in web scraping, utilizing various tech stacks with Python and JavaScript, and cloud resources to effectively design systems, allocate and scale resources as needed. Also at my disposal is machine learning and large language model expertise allowing me to build robust data solutions
Vetted Reinforcement Learning developer in Nigeria (UTC+1)
With over 7 **years of experience** in building and deploying machine learning models for **credit risk analysis**, **fraud detection**, and **customer segmentation**, I am skilled in **data analysis**, **feature engineering**, and **model development**. Proficient in leveraging **MLOps** to streamline the deployment process, I also bring expertise in using **Python, Go, and Rust** for developing **multithreaded and concurrent web scraping solutions**, enhancing data extraction speeds and optimizing data pipelines for real-time decision-making.
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Ready to hire your ideal Reinforcement Learning developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Reinforcement Learning developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 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 Reinforcement Learning developers can help keep your website up-to-date.
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 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 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 developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire 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 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 developers.
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.
Writing a good Reinforcement Learning developer job description is crucial in helping you hire 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 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 developers, read our Software Engineer Job Description Guide & Templates.
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.
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 developers, 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.
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. 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 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.
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.
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 developer in 72 hours, or find a full-time 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 Reinforcement Learning developers.
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.
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.