Arc helps you find and hire top freelance Text Classification engineers for your jobs. With 350,000+ software programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Text Classification developers and experts that you can trust.
$0 until you hireFreelance Text Classification developer in Poland
Experienced Software Developer, specialised in AI technologies, with strong background in both applied science and full-stack development. Proven track record in delivering high-quality software solutions. Proficient in Python, C# and C++, with a keen ability to quickly adapt to new technologies. Seeking to leverage my technical and project management skills in a new capacity.
Machine Learning • 5 yrs
Python • 5 yrs
AI • 4 yrs
Data Science • 5 yrsDeep Learning • 4 yrs
TensorFlow • 4 yrsGenerative AI • 3 yrsPyTorch • 3 yrsComputer Vision • 2 yrsAzureBig DataNLPInformation RetrievalOpenAIChatbot developmentChatGPTOpenAI APIsLangchainLarge Language ModelsStatistics
DockerKubernetesStatistical AnalysisAWS SageMaker
AWS
C++Amazon Alexa
Freelance Text Classification developer
My name is Ashvini and I am from India working at **LinkedIn** as Applied Research Engineer in NLP and ML. My daily job involves keeping LinkedIn feed spam-free, improving job search, and applying state-of-the-art algorithms for the problem at hand. I enjoy interacting with students and have served as a speaker as well as conducted workshops at various campuses. I like to travel and recently I went to Iceland and that made me more curious about traveling to various parts of the world. I love playing TT and Squash in my free time and like to hang out with friends.
Text Classification developer in India
I am adept at various tasks such as A/B testing, Regression, Classification, Clustering, Time Series Forecasting, Image Classification, Text Classification, and Prompt Engineering with ChatGPT. I excel in performing comprehensive Exploratory Data Analysis (EDA), Data Cleaning, and Data Preparation using Python and SQL. Leveraging custom Python classes and functions, I ensure code reusability for effective Data Analysis, Model Training, Model Evaluation, and Visualization. My expertise extends to utilizing high-end boosting algorithms such as LightGBM, XGBoost, and CatBoost, incorporating Ensemble techniques for stable metrics and consistent prediction results. I employ custom Data Preparation techniques, develop custom layers, and architect models in TensorFlow. I create bespoke callbacks to enhance model training processes. For experiment tracking, I am proficient in using mlflow, Tensorboard, and Azure ML Workspace, while leveraging Dagshub for remote experiment tracking. My skills include automating data ingestion, training, evaluation, and prediction, achieving MLOps through modular coding practices. In addition to my technical capabilities, I specialize in creating stunning visualizations with a storytelling approach using Power BI and Tableau. I am enthusiastic about working in the field of cloud computing, specializing in building scalable and precise AI models. My goal is to continually advance my skills in artificial intelligence, staying abreast of the latest developments. I am dedicated to fine-tuning my expertise to develop comprehensive AI tools that effectively address new and complex business problems.
Text Classification developer in Pakistan
Designed and implemented a Retrieval-Augmented Generation RAG system using Amazon Bedrock, Pinecone, and LangChain, improving data retrieval and contextual AI response for industry documents Created a comprehensive solution for identity graph management and product recommendation using AWS services, including AWS Neptune, AWS Personalize, AWS S3, AWS Glue, AWS API Gateway, AWS Lambda, AWS SageMaker, and AWS CloudWatch Proficient Machine Learning Engineer with hands-on experience in implementing cutting-edge algorithms and optimizations to enhance model performance and inference speed Proven track record in automating industrial processes through deep learning techniques, achieving exceptional accuracy rates even in challenging environments Experienced in curating diverse datasets, fine-tuning models, and implementing MLOps practices to streamline data capture, analysis, and model deployment workflows Proficient in developing real-time microservices systems with low latency and high throughput, employing technologies like Redis, SQLite, Flask, Docker, EKS, and Kubernetes. Skilled in transforming Python stacks into multi-threaded C applications for deployment on embedded and x86-64 devices, demonstrating adaptability across different platforms and architectures Recognized for boosting model accuracy through optimization algorithms such as Quantization, Pruning & Sparsification, and Knowledge Distillation, utilizing tools like Nvidia Tao toolkit Skilled in debugging and troubleshooting critical issues, ensuring smooth CI/CD pipeline operations and high-quality software delivery Experienced in managing and orchestrating containerized applications using EKS and Kubernetes to ensure scalable and reliable machine learning deployments.
Machine Learning • 2 yrsPython • 2 yrsAI • 4 yrsDeep Learning • 3 yrsC++ • 2 yrsTensorFlow • 2 yrsPyTorch • 2 yrsAmazon S3AmazonCloudWatchAWS LambdaAWS API GatewayAzure MLAWS SageMakerAws glueAzure DevOps ServerAWSLangchainPineconeJAXGitHub ActionsScikit-learn
FlaskSQLite
RedisX86 64DockerXLSXDocker ComposeGrafanaNimTensorRTOpenVINONVIDIA JetsonWeights & BiasesTracking pixel
Freelance Text Classification developer in India
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!
AI • 9 yrsData Science • 9 yrsMachine Learning • 9 yrsData Analysis • 9 yrsDeep Learning • 9 yrsNLP • 9 yrsTensorFlow • 9 yrsComputer Vision • 9 yrsPython • 9 yrsGenerative AI • 2 yrs
SQL
Git
RAzureVersion controlAutomationScalabilityAnalysisDockerCollaborationClusteringDeploy
Google Cloud PlatformDashboardsLeadershipStrategyData VisualizationResearchNeural Networks
Software DevelopmentA/B testingPresentationsApplication DevelopmentModellingContainerizationContinuous DeploymentKubernetesSupervised LearningReinforcement LearningUnsupervised LearningTechnical Writing
Apache HadoopKerasRecurrent neural networksData CleaningData IntegrationAgileData EngineeringData LakePerformance OptimizationData WarehouseProblem SolvingPyTorchData QualityDomain ExpertiseCommunication SkillsProgram ManagementGenerative ModelsStatistical AnalysisTime Series AnalysisBayesian StatisticsReport DesignData GovernanceBig data technologiesCloud Computing PlatformsSentiment TaggingTokenizationFeature ModelingTransformersData-Driven SecurityHuggingfaceCritical ThinkingRegression modellingMicrosoft Business IntelligenceSoftware ArchitectureNatural Language ToolkitAWSMultivariate AnalysisExperimentationNoSQLData MiningAlgorithmTableauQlikViewMicroservicesData processing
Microsoft Power BIPredictive modelingStatistical Programming
DevOps
Freelance Text Classification developer in India
Data Scientist with 6.5 years of expertise in ML, NLP, and deep learning. Proficient in Python, R, and SQL, skilled in intricate data analysis, visualization, and statistical modeling. Proficiency in Generative AI tools like LangChain, seamlessly integrating it with ChatGPT, Pinecone, LLAMA 2, and Hugging Face for dynamic language-based applications. Strong problem-solving abilities, excelling in fast-paced environments.
Freelance Text Classification developer in the United States
I'm an early career software engineer and writer and former Green Beret and security professional with international experience. I recently graduated from Stanford University with a B.S. in Symbolic Systems (computer science, linguistics, cognitive science, & philosophy), concentrating in AI.
SQL • 2 yrsNeo4j • 1 yrsC++ • 1 yrsLarge Language Models • 1 yrsLangchain • 1 yrsPythonSQLiteWeb ScrapingSpacyBeautifulsoup4Selenium with pythonOpenAI APIsWriterResearchEditing & ProofreadingSEO writingScipyNltkDeep LearningArtificial Neural NetworksTensorFlow
Freelance Text Classification developer in Colombia
Knowledgeable: Over 3 years of experience on Analytics and Business Intelligence. Diligent: Diligently implementing large language models for blog post automation, highlighting meticulous attention to detail. Innovative: Proficient in implementing complex predictive models to forecast outcomes and inform decision-making processes.
Freelance Text Classification developer in Germany
I am Dr. Farnaz Zeidi, a Machine Learning/NLP expert since 2019, specializing in AI, machine learning, and deep learning across various domains. I graduated with a Ph.D. in informatics from Istanbul University and continued as a postdoctoral researcher specializing in NLP at the Paul Ehrlich Institute in Germany. I have developed and implemented state-of-the-art NLP and machine learning solutions for extracting, analyzing, summarizing, and generating information from texts in German, English, and Turkish across various domains such as legal and medical. With a focus on cutting-edge NLP techniques and language models, I collaborate within a team to implement real-life applications aimed at facilitating the decision-making process within regulatory contexts.
Freelance Text Classification developer in the United States
With a B.S. in Math and a M.S in Computer Science, plus over 10 years experience at large and small research companies, at my heart I am a research engineer. I absolutely love to learn, to tackle big problems one piece at a time within an overall vision that builds on small successes but is always looking out for the 0-1 shift that unlocks a whole new world of opportunity. I have spent the past 3 years helping start a data team at one of the largest faith-based apps in the world (the YouVersion "Bible App"). It's been a great experience and gave me a chance to learn more about the business side of the organization. But in my heart I am a research engineer, so I'm looking forward to getting back into real technical research and development. I would be honored to have the chance to discuss how and where my skills and interests might align with real problems that your organization is trying to solve; particularly problems that involve end users and how we can make their world better.
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Get startedArc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
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 Text Classification 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 Text Classification developers can help keep your website up-to-date.
To hire a Text Classification 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 Text Classification developers effectively and efficiently. Hire full-time Text Classification 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 Text Classification engineers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Text Classification 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 Text Classification developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Text Classification 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 Text Classification 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 Text Classification developers, consider niche platforms like Arc that naturally attract and carefully vet their Text Classification developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Text Classification developer candidates.
Some factors to consider when you hire Text Classification 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 Text Classification developers for hire.
Writing a good Text Classification developer job description is crucial in helping you hire Text Classification 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 Text Classification 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 Text Classification programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Text Classification 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 Text Classification 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 Text Classification developers to keep up with evolving technology and requirements.
You can find a variety of Text Classification developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Text Classification programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Text Classification 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 Text Classification 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 Text Classification developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Text Classification developers.
Every Text Classification 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 Text Classification 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 Text Classification engineer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Text Classification 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 Text Classification 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 Text Classification developers, you can rest assured that all remote Text Classification 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 Text Classification developers before we present them to you. As such, all the remote Text Classification developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 350,000 candidates. You can also expect to hire a freelance Text Classification programmer in 72 hours, or find a full-time Text Classification 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 Text Classification developers.
Depending on the freelance developer job board you use, freelance remote Text Classification developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Text Classification 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 Text Classification 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 Text Classification 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 Text Classification developers, check out our FAQs page.
