Machine Learning Engineer

14 hours ago


Singapore minden.ai Full time

**Who we are.**

minden.ai is a technology venture founded by Teamsek in strategic partnership with DFI Retail Group and coalition partners BreadTalk Group, DBS Bank, PAssion Card, Mandai Wildlife Group and Singtel. We are on a mission to redefine the engagement between brands and consumers in Southeast Asia.

**The way we work.**

We treat each other with respect. We embrace authenticity and transparency. We collaborate. We pride ourselves on agility and innovation, and believe in embracing continuous learning and self-improvement. We strive to be the preferred employer by providing comprehensive benefits, a dynamic and exciting working environment, work-life balance and effort recognition.

We are seeking pioneers with grit and passion, an insatiable intellectual curiosity and a heart for people, to amplify our effectiveness as a team.

**As a Machine Learning Engineer, you will**:

- Design and deliver a ML- based recommender system that delights our customers with personalised experience.
- Work closely with platform and data engineers to operationalise ML models and serve inferences efficiently, which include automating ML pipelines, performance monitoring and testing.
- Collaborate with product owners and work backwards from both our customers and partners to define AI/ML features.
- Be the evangelist for AI/ML through mentoring and technical/knowledge sharing.
- Participate actively in design and code reviews.

**Your experiences**:

- You possess at least 2+ years of experience in software engineering or data engineering.
- You have programming experience in Python, Java, Pyspark and Scala.
- You possess knowledge of Big Data frameworks like Hadoop, Spark, Impala, Hive, etc
- You have experience in building and optimizing ML models, pipelines and architectures.
- You have experience with ML frameworks such as TensorFlow, Keras, PyTorch.
- You have experience working in an agile environment.
- You have a bachelor’s degree in Computer Science, Data Science, IT or a related discipline.

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