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Vetted Recommender system developer in India (UTC-7)
I am a Genai researcher at Monotype, specializing in generative models,NLP, and recommender systems. I have experience in ML engineering, research, and development across various industries.
Vetted Recommender system developer in Nigeria (UTC+1)
Result-oriented Data scientist specialized with 5 years of full-time working experience in AI/ML, NLP, NLU, and recommendation systems. I have expertise in engineering production-level ML solutions.
Vetted Recommender system developer in India (UTC+6)
"Great minds discuss ideas. Average minds discuss events. Small minds discuss people." - Eleanor Roosevelt Hello - I'm Heet, a Computer Science Graduate, currently working as a Machine Learning Engineer on various problems at large scales of millions of users/items. Working on ML techniques for Recommendation, and personalization, Content and User understanding, Trust & Safety: Moderation AI and Feed AI: Multi-objective decisioning. Passionate about AI - Machine Learning and Deep Learning, Recommendation Systems, Pattern Recognition, Problem Solving, Software Optimization. With having profound interest and experience, some of the key skills and concepts that I am interested in: - AI: Recommendations System, Computer vision, Audio/Speech processing, NLP - Problem-Solving skill: Data Structure and Algorithms - Backend development and optimization: MicroService, Job deployment - SQL/NoSQL Databases - Google Cloud Platform services - CI/CD Pipeline: Docker, Jenkins, Kubernetes - Flask Want to explore things in-depth and make an impact in society by uplifting people's lives along with personal advancement as well.
Vetted Recommender system developer in Colombia (UTC-5)
Mechanical engineer with a strong academic background, holding a Bachelor's degree from Universidad de los Andes and a Master of Science in Computational Mechanics from the Technical University of Munich (TUM). Over 4 years of academical experience and 5 years of professional experience, also have seamlessly transitioned into the field of data science and machine learning, where have excelled in solving complex business problems and deploying innovative solutions in production environments. Expertise lies in leveraging cutting-edge libraries like TensorFlow, Pytorch, and Scikit-Learn to develop cognitive services. With a versatile skill set, brings to the table a wealth of experience in time series modelling, programming proficiency in Python, C++, Java, and Matlab, and a solid foundation in High-Performance Computing (HPC).
Vetted Recommender system developer in the United Kingdom
Machine Learning Engineer with over 4 years of experience, happy to work in different industries that might make use of AI tools. I am passionate about what I am doing and my career goal is to work on projects that really bring an impact on the world around us.
Vetted Recommender system developer in Finland (UTC+2)
I am a Senior AI Researcher with a PhD in Machine Learning. I have experience in projects related to NLP, search&recomendation, time series forecasting, online learning, outlier detection. Currently I am a playing coach of an AI team which develops AI and software solutions.
Vetted Recommender system developer in India (UTC+6)
15+ years of experience as a software developer and 9+ years of experience as a data scientist. Excellent expertise in Python programming, and ML frameworks such as TensorFlow, PyTorch, Pandas, Numpy, and MLOps platforms such as SageMaker. Analyzed audio data using LibROSA and Kaldi. Experience in the development of RAG models. Expertise in architecting, developing, productionizing, and scaling GenAI applications, Computer Vision models, and Recommender systems Experience with LangChain, vector databases, and similarity search
Recommender system developer in Germany (UTC+1)
Seasoned Machine Learning Engineer with 6+ years in AI, specializing in Deep Learning deploying cutting-edge AI solutions that address realworld problems and over decade year of experience in tech. Led the development of ContagionNET, significantly enhancing COVID-19 detection through innovative use of computer vision and deep learning. Expert in a range of technologies including PyTorch, TensorFlow, with a proven track record in improving model explainability and performance in AutoML product. Strong foundation in C++ and Python with experience in server architecture and distributed systems. Have been actively exploring LLMs, Langchain, and vector databases recently.
Recommender system developer in India (UTC+6)
I am a data scientist who has experience working with burgeoning companies like Siam Makro, Glance (Inmobi Group), EpiFi, and Tata 1mg. I also have worked with different companies e.g. InterviewBit, Dezyre, and, RateCity as a research data science consultant. My Domain Expertise is in Fintech, Edtech, and Ecommerce where I have built: recommendation engines, time-series forecasting models, product data science, natural language processing, etc. I have a bias for action, solution-oriented, and have a good track record in communicating with stakeholders and establishing credibility. My role involves deciphering heaps of data, analyzing it, churning out meaningful insights from the data, and assisting stakeholders to make data-driven decisions. I have experience in developing end-to-end data science models helping companies move business metrics. I constantly learn new things and explore new realms of data science.
Recommender system developer in India (UTC+6)
I have a Master of Technology in Computer Science from the Indian Institute of Technology Delhi and a Bachelor of Technology in Computer Science from Guru Ghasidas University. I have experience as a senior Machine Learning Engineer at Sharechat, where I developed various systems and generators to improve user retention and engagement. I also worked as a Research Scientist-AI at MTX Group Inc., where I developed an information extraction system and models for basketball team analysis. Additionally, I have experience as a Deep Learning Researcher and Software Engineer in Machine Learning. I have certifications in Google Cloud and Deep Learning, and I have published research papers. My skills include Python, NLP, Computer Vision, and recommendation systems.
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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 Recommender system 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 Recommender system 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 Recommender system developers can help keep your website up-to-date.
To hire a Recommender system 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 Recommender system developers effectively and efficiently. Hire full-time Recommender system 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 Recommender system 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 Recommender system 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 Recommender system developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Recommender system 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 Recommender system 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 Recommender system developers, consider niche platforms like Arc that naturally attract and carefully vet their Recommender system developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Recommender system developers.
Some factors to consider when you hire Recommender system 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 Recommender system developers for hire.
Writing a good Recommender system developer job description is crucial in helping you hire Recommender system 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 Recommender system 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 Recommender system developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Recommender system 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 Recommender system 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 Recommender system developers to keep up with evolving technology and requirements.
You can find a variety of Recommender system developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Recommender system developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Recommender system 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 Recommender system 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 Recommender system developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Recommender system developers.
Every Recommender system 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 Recommender system 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 Recommender system 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 Recommender system 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 Recommender system developers, you can rest assured that all remote Recommender system 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 Recommender system developers before we present them to you. As such, all the remote Recommender system 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 Recommender system developer in 72 hours, or find a full-time Recommender system 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 Recommender system developers.
Depending on the freelance developer job board you use, freelance remote Recommender system developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Recommender system 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 Recommender system 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 Recommender system 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 Recommender system developers, check out our FAQs page.