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696 Remote Recurrent neural networks developers and experts available to hire:

Recurrent neural networks programmer - Teodor T.
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Teodor T.

Vetted Recurrent neural networks developer in Romania (UTC+3)

I am a passionate data scientist with several years of experience in the industry, having previously graduated from Queen Mary University of London with a MSc. in Big Data Science. My specialty is deep learning, with a focus on natural language processing (NLP). I am a Microsoft Certified Azure AI Engineer and additionally I have successfully completed a 6-month deep learning specialization offered by leading AI engineer Andrew Ng. I have a CS background and I am constantly increasing my theoretical understanding of ML techniques and computing environments.

Neural Networks • 5 yrsDeep LearningMachine learningData ScienceRPythonPython 3NLP
+1
NLP
Recurrent neural networks developer - Sushmita K.
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Sushmita K.

Vetted Recurrent neural networks developer in Qatar (UTC+3)

• Full stack developer with 9 years of experience in the design and development of modern web applications. • Microsoft Azure AZ-900 certified professional. • Extensive hands-on experienced on migrating traditional monolith applications to microservices using Spring Boot following engineering best practices. • Strong working experience in building Reactive pages using Angular/React. • Strong exposure in building CI/CD pipelines using Docker containers, Jenkins and Gitlab. • Good knowledge on SDLC, Agile Methodology and DevOps.

Neural NetworksAngularSpring BootReactHTML/CSSSQLJavaScriptOracle PL/SQLRxJSRedux-SagaMongoDBGitJenkinsGradleSplunkCloud FoundryOracleGoogle App EngineVerticaPentahoHazelcastApache MavenJavaNode.jsjQueryCSS3JPAImage ProcessingFTPIBM MQStruts 1RESTful APIQuartz scheduller
+26
Oracle PL/SQL, RxJS, Redux-Saga, MongoDB, Git, Jenkins, Gradle, Splunk, Cloud Foundry, Oracle, Google App Engine, Vertica, Pentaho, Hazelcast, Apache Maven, Java, Node.js, jQuery, CSS3, JPA, Image Processing, FTP, IBM MQ, Struts 1, RESTful API, Quartz scheduller
Recurrent neural networks consultant - Rafael P.
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Rafael P.

Vetted Recurrent neural networks developer in Bolivia (UTC-4)

I am a Machine Learning Engineer with experience in developing Machine Learning driven APIs using different backend frameworks and cloud technologies. I have expertise in Python, SQL, Cloud Technologies like AWS or Azure, and backend Frameworks and libraries like Django, FastAPI and Azure Durable Functions.

Neural NetworksPython 3Machine learningSQLMLOpsKubernetesAWSLLMAzureGoPythonData analysisPyTorchFastapiHuggingfaceAIMachine Learning FrameworksLangchainMachine Learning ModelsLlm prompt developmentLlm chain designLlm inference tuningTypeScriptFull StackReactData PipelinesTeaching ProgrammingExpress.jsEd Tech industryHTML/CSSDjangoPostgreSQL
+25
LLM, Azure, Go, Python, Data analysis, PyTorch, Fastapi, Huggingface, AI, Machine Learning Frameworks, Langchain, Machine Learning Models, Llm prompt development, Llm chain design, Llm inference tuning, TypeScript, Full Stack, React, Data Pipelines, Teaching Programming, Express.js, Ed Tech industry, HTML/CSS, Django, PostgreSQL
Recurrent neural networks developers developer - Rafael P.'s portfolio image
Recurrent neural networks developers developer - Rafael P.'s portfolio image
Recurrent neural networks developers developer - Rafael P.'s portfolio image
Recurrent neural networks programmer - dawit T.
dawit T.

Recurrent neural networks developer in Ethiopia (UTC+3)

As an AI/ML Engineer, I specialize in developing, training, and deploying cutting-edge machine learning models. Here's a look at the key machine learning models and techniques I work with: 🔹 Deep Learning: TensorFlow, PyTorch, BERT, GPT, BERT4Rec 🔹 Reinforcement Learning (RL): Building models for decision-making and optimization 🔹 Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest 🔹 Unsupervised Learning: Clustering (K-means, DBSCAN), Dimensionality Reduction (PCA, t-SNE) 🔹 Recommendation Systems: Content-based filtering, Collaborative filtering, Hybrid models 🔹 Natural Language Processing (NLP): Sentiment analysis, Text classification, Named Entity Recognition (NER) 🔹 Time Series Forecasting: ARIMA, Exponential Smoothing, and trend prediction models I'm passionate about using these models to solve real-world problems and help businesses unlock the power of their data! #MachineLearning #DeepLearning #AI #NLP #RecommendationSystems #ReinforcementLearning #DataScience #ModelDevelopment #AIEngineer #MLModels

Recurrent neural networks • 4 yrsBERTTransformersScikit-learnLLMTensorFlowPythonData Science
+1
Data Science
Recurrent neural networks coder - Frederick Z.
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Frederick Z.

Vetted Recurrent neural networks developer in Canada (UTC-4)

Having spent over a decade as a cyber security professional, in various technical roles, I now work as a freelancer offering generative artificial intelligence (GenAI), machine learning and data science services to clients across many industries. Whether you are looking to build projects using large language models (LLM) or neural network-based classification systems or conduct predictive modelling, my goal is to help you make better data-driven, evidence-based business decisions. A geek at heart and an eternal student, I am a firm believer that science and technology can provide solutions to all problems. From pharmacology to environmental sustainability to the loneliness epidemic, AI and automation have the potential to eradicate the major ills plaguing the world. Yes, I, for one, unironically welcome our robot overlords! When I am away from the keyboard, I like to dabble in Go, a game I was inspired to learn after the release of the AlphaGo documentary. I also enjoy nature walks and discovering new cuisines. If you are interested in a conversation on how we can work together to engage your data for your business needs, please do reach out with a quick hello! E-mail: fzhang@exoins.com

Startup experienceNeural Networks • 3 yrsPythonTensorFlowMachine learningAWSLarge Language ModelsRetrieval-Augmented GenerationPerlNumPyPandasVulnerability AssessmentThreat intelligenceAWS SageMaker
+6
Perl, NumPy, Pandas, Vulnerability Assessment, Threat intelligence, AWS SageMaker
Recurrent neural networks developers developer - Frederick Z.'s portfolio image
Recurrent neural networks expert - BACHIR L.
BACHIR L.

Recurrent neural networks developer in Algeria (UTC+1)

I am a skilled software engineer with expertise in JavaScript, Python, and mobile development. I have led projects in real estate and carpooling services, integrating advanced features and technologies.

Startup experienceRecurrent neural networksMobile App DevelopmentReact NativeFlutterGitApp StoreGoogle playReactNext.jsCypressAndroidejabberdZendeskSocketiOSAPIExploratory Data AnalysisDashboard DesignSpatio Temporal modeling
+12
React, Next.js, Cypress, Android, ejabberd, Zendesk, Socket, iOS, API, Exploratory Data Analysis, Dashboard Design, Spatio Temporal modeling
Recurrent neural networks programmer - Adriano F.
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Adriano F.

Vetted Recurrent neural networks developer in Brazil (UTC-3)

Experienced Research And Development Specialist with a demonstrated history of working in the computer software industry and academy. Skilled in topics such as Machine Learning, Computer Vision, Software Engineering, and System Architecture. Strong engineering professional graduated from Universidade Estadual de Campinas.

Neural NetworksPythonDeep LearningComputer VisionJavaSQLMachine learningSimulation EngineeringWeb Development.NET FrameworkMySQLOpenCVGitHubPandasPython 3Qt 5Software DevelopmentTensorFlowKerasSoftware architectureHTML/CSSPHPAndroidDatabaseJSPJsfData structureAIMatplotlibMATLABElectrical Engineering
+24
Simulation Engineering, Web Development, .NET Framework, MySQL, OpenCV, GitHub, Pandas, Python 3, Qt 5, Software Development, TensorFlow, Keras, Software architecture, HTML/CSS, PHP, Android, Database, JSP, Jsf, Data structure, AI, Matplotlib, MATLAB, Electrical Engineering
Recurrent neural networks coder - Saksham K.
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Saksham K.

Vetted Recurrent neural networks developer in India (UTC-7)

Senior Software Engineer specializing in large scale distributed application development and artificial intelligence, backed by 6 years of experience. Recognized for architecting scalable solutions, leading high-impact projects, and mentoring talent.

Artificial Neural Networks • 3 yrsSQLPythonJavaAzureAILLMAWSJavaScriptMongoDBMySQLPostgreSQLKerasC++
+7
AWS, JavaScript, MongoDB, MySQL, PostgreSQL, Keras, C++
Recurrent neural networks architect - Rian B.
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Rian B.

Vetted Recurrent neural networks developer in Brazil (UTC-3)

Bachelor of Information Systems (2023.1), software developer with 6 year experience with Electrical Engineering background. In the last years I've been involved in some fintech projects, developing backend features, maintaining data pipelines (processing, transforming, loading) and deploying to cloud. Also, contributing to escalate and enhance products. Nowadays, during my free time, I'm studying about Financial Systems, watching the macro economic cycles and how do they interact with our lives. Last, not least, I strongly believe that technology came to improve our life quality and social environment. I'm passionate about personal exchanges and good feeding.

Artificial Neural Networks • 2 yrsRESTful APIAWSPythonLinuxSQLPHP 7Continuous IntegrationTypeScriptBlockchainFlaskPostgreSQLJiraTest driven developmentGitLabBack-EndPostmanApache AirflowMySQLExcelPandasDeployment automationTradingCI/CDAngularResponsive DesignProduct design
+20
Continuous Integration, TypeScript, Blockchain, Flask, PostgreSQL, Jira, Test driven development, GitLab, Back-End, Postman, Apache Airflow, MySQL, Excel, Pandas, Deployment automation, Trading, CI/CD, Angular, Responsive Design, Product design
Recurrent neural networks engineer - Krishna V.
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Krishna V.

Vetted Recurrent neural networks developer in the United States (UTC-5)

I am an experienced ML/AI/DL Engineer with a strong foundation in data analysis, machine learning, and predictive modeling, specializing in extracting insights from large, complex datasets using advanced tools like Python, Spark MLlib, and SQL. I have a passion for solving business problems through data-driven solutions, with expertise in NLP, deep learning, and model optimization. Looking ahead, my career aspirations involve further exploring AI-driven innovations and contributing to impactful projects, particularly in machine learning and AI applications, while advancing my skills in cloud technologies like AWS and Azure for scalable model deployment.

Neural NetworksAWSMachine learningPythonAIData ScienceNumPyMatplotlibAmazon S3PandasComputer VisionBootstrapConvolutional TechniquesTableauAmazon RedshiftLinear regressionTensorFlowKerasAWS LambdaSeabornPyTorchLoraAws glueGPT-3HuggingfacePrompt EngineeringGPT-4LLaMASSHAmazon EC2SFTPClusteringNLPApache SparkSupervised LearningDeep LearningApache HadoopAWS SageMakerBayesian StatisticsSocial Network AnalysisDecision MakingMicrosoft visio
+35
Matplotlib, Amazon S3, Pandas, Computer Vision, Bootstrap, Convolutional Techniques, Tableau, Amazon Redshift, Linear regression, TensorFlow, Keras, AWS Lambda, Seaborn, PyTorch, Lora, Aws glue, GPT-3, Huggingface, Prompt Engineering, GPT-4, LLaMA, SSH, Amazon EC2, SFTP, Clustering, NLP, Apache Spark, Supervised Learning, Deep Learning, Apache Hadoop, AWS SageMaker, Bayesian Statistics, Social Network Analysis, Decision Making, Microsoft visio

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Why clients hire Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks developers can help keep your website up-to-date.

How do I hire Recurrent neural networks developers?

To hire a Recurrent neural networks 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 Recurrent neural networks developers effectively and efficiently. Hire full-time Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Recurrent neural networks developers?

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

Some factors to consider when you hire Recurrent neural networks 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 Recurrent neural networks developers for hire.

How do I write a Recurrent neural networks developer job description?

Writing a good Recurrent neural networks developer job description is crucial in helping you hire Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Recurrent neural networks developer?

The top five technical skills Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks developers to keep up with evolving technology and requirements.

What kinds of Recurrent neural networks developers are available for hire through Arc?

You can find a variety of Recurrent neural networks developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Recurrent neural networks developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Recurrent neural networks developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Recurrent neural networks developers.

Every Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks developer's skills?

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

Arc pre-screens all of our remote Recurrent neural networks developers before we present them to you. As such, all the remote Recurrent neural networks 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 Recurrent neural networks developer in 72 hours, or find a full-time Recurrent neural networks 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 Recurrent neural networks developers.

How much does a freelance Recurrent neural networks developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Recurrent neural networks developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks 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 Recurrent neural networks developers, check out our FAQs page.

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