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Recommender Systems developer in Taiwan (UTC+8)
A Data Scientist with three years of experience developing and managing data science projects, specializing in natural language processing, machine learning, and backend engineering. Proven ability in model building and data analysis, with demonstrated success in developing data-driven solutions to complex business problems.
Recommender Systems developer in Taiwan (UTC+8)
I am Eric Tsou, currently serving as the Principal Data Scientist at Beagle Technology Inc., where I lead the development of internal AI and machine learning projects. I optimized the company's YOLOv4-based models by combining scene segmentation and object detection, and integrated these with a mechanical control framework to enhance agricultural harvesting efficiency. In terms of ML infrastructure, I streamlined the labeling process using large models, reducing the model iteration time by 80%. During my tenure as the Data Team Lead at Vinnovation Network, I helped the company establish automated data infrastructure and developed a recommendation system. This not only introduced a data-driven culture to the company but also increased the platform's conversion rate by 150%.
Recommender Systems developer in Taiwan (UTC+8)
Expertise includes measurement statistics, machine learning algorithms and Software development. The skill used in previous job include algorithm development, machine learning model establishment, Data ETL and BI Dashboard development and implement. Currently working at DBS, Provide a data-driven decision support operation systems, and Access control, User requirement consultation, System Architecture design, Data layering, Data Governance, Data ETL of Data Warehouse systems.
Recommender Systems developer in Taiwan (UTC+8)
Experienced Engineer with a demonstrated history of working in both enterprise (B2B) and consumer (B2C) services industries. Skilled in server-side architecture design, backend programming (python), data processing (data pipeline, Spark, ETL), cloud infrastructure managing (AWS, Azure) and data modelling (computer vision, natural language processing). Strong engineering professional with a Bachelor's Degree focused in Information Management, from Chung Yuan Christian University. Key technologies: AWS, Python, DynamoDB, Kafka, PostgreSQL, Redis, Keras, Scikit-learn, Elasticsearch, BigQuery, CI/CD, Django, Flask, Celery, Terraform, Docker.
Recommender Systems developer in Taiwan (UTC+8)
I’m an experienced software engineer with a practical history of working in embedded software and backend development. Passionate for programming and building products with my skills. Love to work as a real team player to build products from ground up with cool people. I started my career as an embedded software engineer and developed various products. The passion of building products carried me to different startups. As a developer of a startup in the very early stage, it helps me to expand my skills to more fields(backend, devops and team leadership) and to grow with the team during achievement of different milestones. These drive me to keep moving forward. My skills/interests include: C/C++/Python/Rust, Gstreamer/H.264/RTP/RTSP/WebRTC, Flask/FastAPI , MySQL/PostgreSQL/SQLite/Redis, QT, MQTT, Docker, K8S.
Recommender Systems developer in Taiwan (UTC+8)
I am a database expert with experience in MES system programming, ERP planning, and development. I have a strong background in Java, JavaScript, and SQL Server, with achievements in SQL performance optimization and API development.
Recommender Systems developer in Taiwan (UTC+8)
I am a senior software developer who has been coding for over a decade. I started out as an indie game and mobile app developer, and in recent (4+) years have transitioned to full-stack web development, specializing in Node.js, React, and TypeScript. Software development has always been a passion of mine. It started as a hobby when I was little and turned into a career that I really enjoy. I see my code as my baby and am always looking for a way to make it better. This is why I care about the structure and maintainability of a codebase, because I know from past experience how painful and difficult it can be to expand a codebase that is built in a poor way. I am comfortable working on a project from start to finish alone or with a small team. I'm looking for a fully remote role in a collaborative, creative environment where I can use my skills to create more.
Recommender Systems developer in Taiwan (UTC+8)
Continuously learning software engineer specializing in front-end development. Consistently deliver high quality software.
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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 Systems 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 Systems 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 Systems developers can help keep your website up-to-date.
To hire a Recommender Systems 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 Systems developers effectively and efficiently. Hire full-time Recommender Systems 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 Systems 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 Systems 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 Systems developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Recommender Systems 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 Systems 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 Systems developers, consider niche platforms like Arc that naturally attract and carefully vet their Recommender Systems developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Recommender Systems developers.
Some factors to consider when you hire Recommender Systems 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 Systems developers for hire.
Writing a good Recommender Systems developer job description is crucial in helping you hire Recommender Systems 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 Systems 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 Systems developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Recommender Systems 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 Systems 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 Systems developers to keep up with evolving technology and requirements.
You can find a variety of Recommender Systems 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 Systems developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Recommender Systems 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 Systems 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 Systems 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 Systems developers.
Every Recommender Systems 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 Systems 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 Systems 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 Systems 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 Systems developers, you can rest assured that all remote Recommender Systems 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 Systems developers before we present them to you. As such, all the remote Recommender Systems 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 Systems developer in 72 hours, or find a full-time Recommender Systems 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 Systems developers.
Depending on the freelance developer job board you use, freelance remote Recommender Systems developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Recommender Systems 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 Systems 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 Systems 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 Systems developers, check out our FAQs page.