AI Expert in Machine Learning and Data Science

1 week ago

Singapore beBeeArtificialIntelligence Full time $120,000 - $180,000
Job Summary

As a leading innovator in the field of artificial intelligence, we seek highly skilled experts to drive our AI and data science initiatives forward. This is an exciting opportunity for talented professionals to join our team and contribute their expertise to developing innovative solutions.


Key Responsibilities:
  • Develop advanced machine learning algorithms to meet complex product requirements, executing necessary tests and experiments, evaluating, tuning, and optimizing algorithms and methods.
  • Provide technical direction and guidance to a small team of junior and senior data scientists embedded in agile data squads, delivering products/services in generative AI, data science, and data analytics to stakeholders.
  • Collaborate with other team members including data engineers and data strategists, working closely with business stakeholders to create impactful and intelligent features/products.
  • Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.
Requirements
  • A PhD degree related to computer science, machine learning, or other AI disciplines is required, with consideration given to exceptional candidates without advanced degrees.
  • Demonstrated intellectual firepower as a rapid problem-solver and tech lead, with advanced programming skills in Python and strong technical skills in algorithm design/analysis, data structure, and SQL.
  • Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing, with at least intermediate-level mastery of functional/object-oriented software development using modern programming languages.
  • Experience in the use of recent proprietary/open-source LLM APIs and software development skills involving multi-agents and prompt engineering using LLM application/data frameworks, with familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
  • Significant hands-on experience of AWS, Azure, GCP, or other public cloud environments, excellent mentoring, interpersonal, and communication skills for working with both technical staff and non-technical business users.

We are committed to fostering a collaborative and dynamic work environment that promotes innovation, creativity, and professional growth. If you are passionate about leveraging cutting-edge technologies to drive business success, we encourage you to apply for this exciting opportunity.

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