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XPT Software

Data Scientist - Gen AI- Machine Learning

XPT Software
Australia · Contract · Entry

Key accountabilities of the role:

Gen AI Lead / Data Scientist (Overall good experience and 2+ in GenAI or 5+ yrs in Analytics/ML) –

  • AI Model Development:
  • Design and develop generative AI models for various applications, including predictive analytics, natural language processing, and automated content generation.
  • Implement machine learning and deep learning algorithms to solve complex business problems for Institutional Banking use cases
  • Data Management and Preprocessing:
  • Work with data engineers to ensure data quality, integrity, and accessibility.
  • Preprocess and clean large datasets for training and evaluation of AI models.
  • Integration and Deployment:
  • Integrate AI solutions into the bank's existing data infrastructure and business processes.
  • Deploy AI models in production environments, ensuring scalability, performance, and compliance with regulatory standards.
  • Collaboration and Communication:
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Communicate findings and insights to non-technical stakeholders through reports and presentations.
  • Financial services domain experience

Inherent requirements of the role/

Mandatory/Essential Skills And Experience

(Candidates without these will not be shortlisted to the hiring manager)

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Strong programming skills in languages such as Python, R, or Java.
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Experience with cloud platforms like AWS Bedrock, Azure, or Snowflake AI Data Cloud

Key Skills

Ranked by relevance

ai machine learning natural language processing deep learning tensorflow pytorch python cloud java aws
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Posted
Feb 21, 2025
Type
Contract
Level
Entry
Location
Sydney

Industries

IT Services IT Consulting

Categories

Information Technology

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