Machine Learning Lead

1 day ago

Singapore minden.ai Full time

**Who we are.**

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

**The way we work.**

At minden.ai, our culture is the foundation of everything we do. We believe in the power of teamwork and collaboration. We are continuous learners and commit to stay ahead of the curve to drive positive change in our industry. We are seeking for individuals with grit and passion, an insatiable intellectual curiosity and a heart for people to amplify effectiveness as a team.

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

- Lead, coach and mentor a high-performing Machine Learning team.
- Guide our ML architecture to ensure performance, security, and extensibility.
- Collaborate with the leadership team to develop the company's roadmap for AI/ML.
- Work closely with the product team to design and deliver a ML-based pricing system that delights our customers with a hyper-personalised experience.
- Work cross functionally to operationalise machine learning models and serve inferences efficiently, which include automating data pipelines, machine learning pipelines, performance monitoring and testing.
- Be the evangelist for AI/ML through mentoring and technical/knowledge sharing.

**What you should have**:

- A bachelor’s degree in Computer Science, Data Science, IT or a related discipline.
- Possess at least 8 years of experience in software engineering, data engineering and ML engineering. Minimal 3 years experience in leading a ML team.
- Experience in creating, managing and coaching high performing engineering teams and being technically hands-on as a leader.
- Programming experience in Python, Java, Pyspark and Scala.
- Possess knowledge of Big Data frameworks like Hadoop, Spark, Impala, Hive, etc
- Experience in building and optimizing Machine Learning models, ML pipelines, data pipelines and architectures.
- Experience with ML frameworks such as TensorFlow, Keras, PyTorch.
- Experience working in an agile startup environment

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