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Machine Learning Models developer in Taiwan (UTC+8)
Data Scientist with 8+ years of experience in leveraging machine learning, AI, and statistical methods to solve complex business problems and improve operational efficiency. Skilled in developing and deploying predictive models, building scalable data pipelines, and delivering actionable insights to stakeholders through dashboards. Strong experience collaborating with both technical teams and business stakeholders to ensure data quality, scalability, and alignment with strategic objectives. Proficient in Python, R, SQL, Power BI, and cloud platforms like AWS and Azure, with a demonstrated track record of successfully implementing data-driven solutions across diverse industries.
Machine Learning Models developer in Taiwan (UTC+8)
I'm a software engineer based in Taiwan with 4+ years of experience. I have a strong background in algorithms and have represented USA in the International Collegiate Programming Competition. Here are some of the technologies I've worked with in the past: Programming Languages: C++, Python, Kotlin and Java Frameworks: AWS (S3, Lambda, EKS, Personalize, OpenSearch, Kinesis), Elasticsearch, FastAPI, Android Mobile and Wearables, Tensorflow, OpenAI LLMs Databases: Postgres, MongoDB, Bigquery CI/CD: Docker, Kubernetes, Github Actions, ArgoCD I also have experience with machine learning and robotics projects with a research flavor in an industry setting. I particularly enjoy working on projects that are technically challenging and require research and experimentation
Machine Learning Models developer in Taiwan (UTC+8)
I am a Sr. Data Scientist and Tech Lead with expertise in machine learning, time series forecasting, and NLP modeling with an academic foundation in computational social science, with a focus on social network analysis and behavioral economics. I have led the development of production-level applications and implemented scalable big data pipelines. I have also conducted exploratory data analysis and developed Power BI reports. Additionally, I have experience in project management and market research. I have completed professional training in Deep Learning and Business Intelligence Analysis. My programming skills include Python, R, T-SQL, and Scala, and I am proficient in tools such as AWS and Git.
Machine Learning Models developer in Taiwan (UTC+8)
9+ years of experience in data science, data engineering, and machine learning. 3+ years of experience as a lecturer at Tamkang University. Good at translating business problems into practical and elegant data science projects, familiar with the domain knowledge in the telecommunications industry and social mobile applications. Led one data scientist to manage data for four products, each covering the data center, ads platform, marketing platform, and AWS data services, processing 40M records daily, maintaining a 99% service stability rate, and handling the multiple A/B tests in 4 products. Made US$200,000 in profits by selling 2 solutions to firms via a predictive model to provide insights into the current and foresee bandwidth bottleneck in communication in Huawei. Increased the satisfaction of application users by 60% via an anomaly detection algorithm for scammers and perverts.
Machine Learning Models 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.
Vetted Machine Learning Models developer in Taiwan (UTC+8)
Accomplished data scientist with over 5 years of experience using data science, data analytics, advanced machine and deep learning approaches to solve challenging problems in high-growth technological settings and provide data-driven insights to recommend decisions. · **Applied data science and AI** in research, utilizing predictive modeling techniques to extract insights and interpret model predictions effectively. · **Proficient in Python** for developing and maintaining data analysis pipelines, statistical analyses, predictive modeling, data visualization, and process automation, enhancing efficiency and accuracy. · **Collaborated with multidisciplinary teams** to gather datasets from diverse sources, train AI models, and facilitating data-driven decision-making that push boundaries of AI. · **Demonstrated strong written and verbal communication skills** to clearly convey concepts and solutions, fostering collaboration within and across teams. · **Skilled in data engineering techniques** for gathering, preparing, cleansing, and transforming data for analysis, automation, and AI applications. · **Experienced in leveraging cloud platforms** and services for analytics and data processing. · **Proven track record of driving innovation** and creativity in AI projects while streamlining project delivery. Passionate about applying AI to revolutionize childhood literacy. · **Strong problem-solving abilities** with analytical thinking and troubleshooting skills to effectively identify and resolve issues.
Vetted Machine Learning Models developer in Taiwan (UTC+8)
I’m a product professional known for my innate curiosity and need to explain, desire to connect with others, and drive to help leaders make better decisions.
Vetted Machine Learning Models developer in Taiwan (UTC+8)
I have prioritized my time to learning new technologies and dedicates my knowledge and my skills to my clients. Never stop searching for a better solution and always take initiatives. My true happiness lies in where I could provide values for others.
Machine Learning Models 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.
Machine Learning Models 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%.
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Ready to hire your ideal Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models developers can help keep your website up-to-date.
To hire a Machine Learning Models 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 Machine Learning Models developers effectively and efficiently. Hire full-time Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models developers, consider niche platforms like Arc that naturally attract and carefully vet their Machine Learning Models developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Machine Learning Models developers.
Some factors to consider when you hire Machine Learning Models 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 Machine Learning Models developers for hire.
Writing a good Machine Learning Models developer job description is crucial in helping you hire Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models developers to keep up with evolving technology and requirements.
You can find a variety of Machine Learning Models developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Machine Learning Models developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Machine Learning Models developers.
Every Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models developers, you can rest assured that all remote Machine Learning Models 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 Machine Learning Models developers before we present them to you. As such, all the remote Machine Learning Models 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 Machine Learning Models developer in 72 hours, or find a full-time Machine Learning Models 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 Machine Learning Models developers.
Depending on the freelance developer job board you use, freelance remote Machine Learning Models developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models 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 Machine Learning Models developers, check out our FAQs page.