Principal Data and AI Engineer

Melbourne, Victoria 3000, Australia • Full-time

Role Type

Permanent • Full-time • Mid-level Senior

Description

Summary:

As a Principal Data and AI Engineer at our consultancy firm in Melbourne, you will play a pivotal role in driving data-driven solutions and artificial intelligence initiatives. Your expertise will guide our clients in leveraging data to enhance their business strategies, ensuring that we remain at the forefront of innovation in the consultancy industry. This permanent, full-time position offers an exciting opportunity to lead projects that have a significant impact on our clients’ success.

Responsibilities:

  • Lead the design and implementation of data architectures and AI solutions for diverse client projects.
  • Collaborate with cross-functional teams to identify business requirements and translate them into technical specifications.
  • Develop and optimise machine learning models and algorithms to solve complex business problems.
  • Conduct data analysis and visualisation to provide actionable insights to clients.
  • Mentor and guide junior engineers and data scientists in best practices and methodologies.
  • Stay updated with the latest trends and advancements in data engineering and AI technologies.
  • Ensure compliance with data governance and security standards throughout project lifecycles.

Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; a Master’s degree is preferred.
  • A minimum of 5 years of experience in data engineering, AI, or a related field.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong experience with data processing frameworks like Apache Spark or Hadoop.
  • Familiarity with machine learning libraries and frameworks such as TensorFlow or PyTorch.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.