Machine Learning and Data Lead
1 week ago
**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.**
At Minden, 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 & Data Lead, you will**:
- Recruit, develop and retain a high-performing Data and ML team. Provide coaching and mentoring to the Data and ML team.
- Guide our Data and 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 data pipelines and ML-based recommender systems that delights our customers with personalised experience
- Work cross functionally to operationalise ML models and serve inferences efficiently, which include automating data pipelines, ML pipelines, performance monitoring and testing.
- Be the evangelist for AI/ML through mentoring and technical/knowledge sharing.
**Your experiences**:
- You have experience in creating, managing and coaching high performing engineering teams
- You possess at least 10+ years of experience in software engineering, data engineering and ML 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, ML pipelines, data 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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