ML Engineer, Trust & Safety for the Gig Economy

Professional Institution Limited; Warkworth; On-site; NZD 100,000 - 150,000; Full time

Job summary

Professional Institution Limited is seeking a talented Machine Learning Engineer to design, build, and deploy AI-powered solutions for trust and safety in the gig economy. You will work with data scientists and engineers to tackle fraud detection, risk assessment, and content moderation.

The role requires strong Python skills with ML libraries, data analysis using Pandas/NumPy, and cloud experience to deploy data pipelines.

Qualifications

• Strong understanding of machine learning algorithms and principles.
• Experience with Python and relevant machine learning libraries (scikit-learn, TensorFlow, PyTorch).
• Proficiency in data analysis and manipulation using libraries like Pandas and NumPy.
• Experience with data visualization tools.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Responsibilities

• Design, develop, and deploy machine learning models to solve real-world problems related to trust and safety in the gig economy.
• Analyze large and complex datasets to identify patterns and extract valuable insights.
• Collaborate with data scientists and engineers to build and improve data pipelines and infrastructure.
• Develop and implement algorithms for fraud detection, risk assessment, content moderation, and other relevant areas.
• Evaluate and optimize the performance of machine learning models.
• Stay up-to-date with the latest advancements in machine learning and AI.
• Contribute to the research and development of new AI-powered solutions.

Job description

Professional Institution Limited is seeking a talented Machine Learning Engineer to design, build, and deploy AI-powered solutions for trust and safety in the gig economy. You will work with data scientists and engineers to tackle fraud detection, risk assessment, and content moderation.

The role requires strong Python skills with ML libraries, data analysis using Pandas/NumPy, and cloud experience to deploy data pipelines.