Machine Learning Engineer 演算法工程師

Job updated 2 months ago

Job Description

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1. Proven experience in machine learning engineering, with a strong portfolio of projects demonstrating expertise in streaming prediction and real-time data analysis.
2. Proficient in BigQuery and the management and enhancement of feature stores.
3. Data pipeline customization, including data fetching, preprocessing, and post-processing.
4. Strong analytical and problem-solving skills, with the ability to design and implement effective solutions for complex challenges.
5. Excellent communication and teamwork abilities, with a proven track record of successful collaboration in a multidisciplinary environment.


[You should know these]

- Bachelor degree or above in computer engineering/computer science or related fields.
- Experience with Linux based OS (CentOS, Ubuntu, Arch Linux, etc.).
- Experience with an OS scripting language.
- Knows Python and another major OOP language (e.g. Java, C++).

[You probably should know these]

- Experience with non-trivial Python package (e.g. Jinja2, Pandas, etc.).
- Experience with containerization technology.
- Experience with database and caching services.
- Knows Apache Spark.
- Knows machine learning basics.

[Nice to Have]

- Knows Python based web framework, preferably FastAPI.
- Familiar with a functional programming language, or knows Scala.
- Expert in scalable networking design, including high availability, redundancy, failover, and load balancing.
- Expertise in MongoDB and Redis.
- Expertise in Kubernetes.
- Expertise in Docker.
- Expertise in database internals, database language theories, database design, SQL and database programming.
- Knowledge of fundamental networking technologies, protocols and tools (TCP, HTTP, RESTful API).

    Interview process




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    5 years of experience required
    100,000+ TWD / month
    Optional Remote Work
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    MoBagel 行動貝果有限公司
    Artificial Intelligence / Machine Learning
    51 - 200 people

    About us

    Company Overview

    MoBagel is a key vendor of a no-code AI/ML platform, as recognized by Gartner in 2020, 2021, and 2022. Decanter AI, the no-code AI/ML platform, empowers data scientists and domain experts to design and build AI solutions together. Through partnerships with key partners such as Dentsu Group, Deloitte and JETRO to build no-code AI solutions together, Decanter AI has quickly accumulated over 100,000 users and is well-positioned to continue driving innovation and growth for sustainability.

    MoBagel is a Series A company that has raised over $21 million in funding to fulfill our vision of “Solve with AI, Build Sustainability Together”. Following our mission, we have served over 3,000 brands in various industries, including Fortune 500 companies in manufacturing, healthcare, telecommunications, finance, e-commerce, retail, supply chain and logistics, and digital marketing.

    Here are some of the credits that MoBagel has received:

    • Gartner Report - Top 10 Strategic Tech Trends for 2020 : Key Vendor of AI/ML platform
    • UC Berkeley SkyDeck (UC Berkeley’s premier startup accelerator)
    • SoftBank Innovation Program (1st Round Winner)
    • Nokia Innovation Challenge (Top Prize of 400 startups)
    • Microsoft x Coca-Cola Smart Retail Hackathon (1st Prize in Greater China Region)
    • Microsoft Accelerator Beijing (1.89% of 1,000 startups)
    • Plug and Play IoT Expo (1st Prize of 300 startups)
    • Orange Fab Asia - Tokyo
    • Intel AI Builder Program


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