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Machine Learning Engineer 演算法工程師
Job Description
＊請至 【https://mobagel.typeform.com/to/ojShbwVv】 投遞履歷，謝謝你的協助＊
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.
Requirements
[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
1.技術測驗：線上測驗
2.一面：技術主管面談
3.二面：部門主管面談
4.Reference Check
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 an AI startup based in Silicon Valley, founded by AI scientists from Stanford and UC Berkeley in 2015. MoBagel provides a generative AI platform and various enterprise-level AI Agents designed to enhance data-driven decision-making and business process automation. Recognized by Gartner for the past five years, MoBagel's platform empowers over 11,000 brands across industries such as sales and marketing, supply chain, finance, and manufacturing, all driven by our vision to "Build AI Together and Beyond."Here are some of the credits that MoBagel has received:
- 2024 Emerging Tech Impact Radar: Artificial Intelligence
- 2024 Hype Cycle for Environmental Sustainability
- 2024 Hype Cycle for Data, Analytics and AI Programs and Practices
- 2024 Gartner’s Hype Cycle Builder in AI Innovation
- 2023 Market Guide for Augmented Analytics
- 2023 Hype Cycle for Environmental Sustainability
- 2023 Hype Cycle for Data and Analytics Programs and Practices
- 2022 Hype Cycle : AI For Sustainability
- 2022 Emerging Tech Impact Radar: Artificial Intelligence
- 2022 Emerging Tech Impact Radar: Robotic & Automation
- 2022 Market Guide for Augmented Analytics
- 2022 Market Guide for AI Startups
- 2021 Augmented Analytics BI and Data Science Solution
- 2020 Top10 Strategic Technology Trends - AI Democratization2019 Microsoft Accelerator (Taipei) Batch 1 Taipei Acceleration Program
- 2019 loT World Startup Elevate Pitchoff Winner, Pitch Group 4: loT Capabilities: AI & Machine Learning and Security
- 2016 Nokia Open Innovation Challenge 2016 （Europe）The top 3 winning teams
- 2016 SoftBank Innovation Program 1st Round Winners, 2016 G-Startup Worldwide SV Global Final Top 15
- 2016 Slush Asia 2016 Top 5
- 2016 G-Startup Worldwide Beijing Top 50
- 2014 Salesforce 1M Hackathon 6th place
