Advanced Machine Learning Solutions Architect

1 week ago


Singapore beBeeEngineering Full time $150,000 - $200,000
Senior Machine Learning Engineering Lead

The Senior Machine Learning Engineering Lead is a key position in our organization responsible for leading the development of advanced ML/AI capabilities.

The successful candidate will have extensive experience in machine learning and data science, as well as strong leadership skills to guide a team of data scientists and engineers.

  • Lead a team of data scientists and engineers to develop cutting-edge machine learning solutions using modern tools and technologies.
  • Design and implement scalable ML model training pipelines using tools such as MLflow, Comet, and Langfuse.
  • Coordinate work allocation and ensure timely delivery of projects.
  • Foster a collaborative and innovative team culture focused on continuous learning.
Requirements
  • Master's or PhD in Computer Science, Machine Learning, Statistics, or related field.
  • 10+ years of hands-on experience in data science/machine learning.
  • 5+ years of experience leading technical teams.
  • Proven track record of deploying ML & LLM models to production at scale.
Technical Skills
  • Deep expertise in Python and ML frameworks (PyTorch, TensorFlow).
  • Extensive experience with commercial LLM APIs (Anthropic Claude, OpenAI GPT-4).
  • Strong proficiency with MLflow for experiment tracking and model management.
  • Experience with distributed computing using Apache Spark.
Leadership Skills
  • Demonstrated ability to lead and inspire technical teams.
  • Strong communication skills to translate complex technical concepts to stakeholders.
  • Experience with agile development methodologies.
Benefits

We offer a competitive compensation package, comprehensive health insurance, and generous paid time off. Our company fosters a flexible and trust-oriented culture that empowers everyone to take full ownership of their roles.

Why Work With Us

Our organization is committed to innovation and excellence. We believe in fostering a collaborative and inclusive environment that values diversity and promotes continuous learning.



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