Job Description

Who we are. Minden.ai is a technology venture on admission to redefine the engagement between brands and consumers in Southeast Asia. We create more delightful and rewarding interactions, enriching relationships between brands and consumers with the use of machine learning and artificial intelligence, leading to increased engagement, loyalty and growth.

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.
  

• 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\xe2\x80\x99s degree in Computer Science, Data Science, IT or a related discipline.