Advanced AI Professional

We are seeking a highly skilled and motivated professional to join our Data Science team. The ideal candidate will possess a strong background in data science, AI technologies, and advanced analytics.

The successful candidate will work closely with clients to understand their business needs, develop innovative AI solutions, and provide actionable insights that drive strategic decision-making.

• Client Collaboration: Work closely with clients to understand their business objectives, data requirements, and AI & DS needs.
  
• Design & Build Data Science & AI Projects: Design and implement data science and AI projects, ensuring they meet client objectives and deliver business value.
  
• Data Analysis and Modeling: Develop and apply advanced statistical models, machine learning algorithms, and AI techniques to solve complex business problems.
  
• Cloud Hosting Expertise: Utilise knowledge of cloud hosting environments, including AWS, Azure, and other relevant platforms, to deploy and manage AI & DS solutions effectively.
  
• Data Integration: Integrate and analyse data from multiple sources to create unified, accurate datasets for AI & DS modeling and analysis.
  
• Data Visualization: Create visually appealing and interactive dashboards and visualizations to present AI & DS-driven insights in a comprehensible manner.
  
• Stakeholder Communication: Communicate complex AI & DS findings to non-technical stakeholders effectively.
  

• More than 5 years of experience in data science, AI, or related fields.
  
• Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).
  
• Strong background in AI/ML techniques, including natural language processing, computer vision, and predictive analytics.
  
• Experience in managing a broad range of AI products and solutions as well as Generative AI (GenAI) solutions.
  
• Knowledge of cloud hosting environments, particularly Azure, AWS, GCP and other relevant platforms.
  
• Knowledge of data warehousing concepts and ETL processes (e.g. Databricks or Snowflake).
  
• Excellent problem-solving and analytical skills.
  
• Effective communication and client-facing skills.
  
• Experience in contributing to pre-sales and business development activities.
  
• Certifications in AI/ML, data science, or cloud platforms.
  
• Experience with cloud-based AI/ML platforms (e.g. AWS SageMaker, Azure ML or GCP Vertex AI).
  

• Competitive salary package.
  
• Share plan.
  
• Company performance bonuses.
  
• Value-based recognition awards.
  
• Referral bonus.
  
• Career coaching.
  
• Global career opportunities.
  
• Non-linear career paths.
  
• Internal development programmes for management and technical leadership.
  
• Complex projects.
  
• Rotations.
  
• Internal tech communities.
  
• Training.
  
• Certifications.
  
• Coching.
  
• Online learning platforms subscriptions.
  
• Pass-it-on sessions.
  
• Workshops.
  
• Conferences.
  
• Hybrid work and flexible working hours.
  
• Employee assistance programme.
  
• Global internal wellbeing programme.
  
• Access to wellbeing apps.
  
• Global internal tech communities.
  
• Hobby clubs and interest groups.
  
• Inclusion programmes.
  
• Events and celebrations.
  
• Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
  
• Novated Leasing: Pre-tax car leasing benefit for new and used cars.
  
• Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
  
• Inclusive Parental Leave Policy: 12 weeks of primary carer's leave and 4 weeks of secondary carer's leave.
  
• Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year.
  

• We welcome applications from people of all backgrounds, experiences, and perspectives.
  
• Hiring decisions are based on merit, skills, qualifications, and potential.
  

• Seniority level: Mid-Senior level.
  
• Employment type: Full-time.
  
• Job function: Engineering and Information Technology.
  
• Industries: IT Services and IT Consulting.
  
• Location: Melbourne, Victoria, Australia.