Machine Learning Engineer

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, Great Eastern, FoodPanda and GoJek.

We are on a mission to redefine how brands engage with their customers through the power of machine learning and artificial intelligence. We are building a next generation insights-driven platform to serve millions of customers and merchant partners across 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 do not settle for mediocrity without our best effort. We do our best to create the greatest value for our customers' long term success.

We are currently seeking a self-motivated, solution-oriented and experienced Machine Learning Engineer to join our Product & Engineering Team.

As a Machine Learning Engineer, your responsibilities will include:

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

You will be an ideal candidate if you have:

1. You possess at least 3+ years of experience in software engineering or machine learning engineering.
2. You have programming experience in Python, Java, Pyspark and Scala.
3. You possess knowledge of Big Data frameworks like Hadoop, Spark, Impala, Hive, etc.
4. You have experience in building and optimizing Machine Learning models, pipelines and architectures.
5. You have experience with ML frameworks such as TensorFlow, Keras, PyTorch.
6. You have basic understanding of ML concepts.
7. You have a strong hand on coding experience.
8. You have a strong understanding and experience in MLOps.
9. You have experience in putting ML models into production.
10. You have experience working in an agile environment.
11. You have a bachelor’s degree in Computer Science, Data Science, IT or a related discipline.