Machine Learning Engineer

minden.ai

  • Singapore
  • Permanent
  • Full-time
  • 2 months ago
  • Apply easily
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, FoodPanda, GoJek and Great Eastern. We are on a mission to redefine the engagement between brands and consumers in Southeast Asia.The way we work.We believe in hiring different and diverse talents. Inclusive cultures are the foundation for collaboration and innovation within our team. We treat each other with respect. We embrace authenticity and transparency. We pride ourselves on agility and innovation, and believe in embracing continuous learning and self-improvement.We are seeking a self-motivated, solution-oriented and experienced Machine Learning Engineer to join our Product & Engineering Team.In this role, you will
  • Design and deliver a ML-based pricing system that delights our customers with a hyper-personalised experience.
  • 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.
  • 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 will be a great match if you have:
  • You possess at least 3+ years of experience in software engineering or machine learning 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 Machine Learning 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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