Senior Machine Learning Engineer

Role Snapshot

• Blue chip global analytics and technology company with mature ML environment.
• Drive new products for clients with a heavily productionised data set.
• Report directly to the Group CTO who will give you autonomy and empowerment to drive the company's ML roadmap and journey.
• Full time WFH opportunity - offices in each state should you want to come in. Open to candidates anywhere in Australia.
• 2 direct reports.
• $190,000 - $200,000 + superannuation + 15% STI.

Your New Employer

Your new employer is a top global company in the analytics industry. They have a dynamic, friendly and socially responsible culture that thrives on collaboration, inclusion and diversity. They have deep geographical reach globally and you'll instantly recognise their portfolio of brands for their innovation and cutting-edge insights for their clients. You'll have a lot of fun working for a Group CTO who cares a lot about empathy, humility and the wellness of their employees.

You'll join a multi-award-winning company and have clear direction and feel highly engaged and supported with a strong technology foundation of Machine Learning. You'll be developed and mentored, as this company has progressive learning programs for staff, with a core focus on providing opportunities for you to reach your full potential within a positive working environment that celebrates success and diversity. You'll also have plenty of time to spend with your family and on your health, as this company offers the option of hybrid working or full time WFH.

Your new role

Reporting to the Group CTO, you'll be hands on and will:

• Lead the design, development, and implementation of Machine Learning models and services to address business challenges and opportunities;
• Mentor and coach a small team (2), providing guidance and support in Machine Learning techniques, best practices, and tools;
• Collaborate with product managers and software engineers to define project requirements, scope, and deliverables;
• Conduct thorough analysis of large, complex datasets to extract actionable insights and identify patterns and trends;
• Design and optimize Machine Learning pipelines and workflows for training, testing, and deployment of models in production environments;
• Evaluate and integrate third-party Machine Learning libraries, tools, and frameworks to enhance model performance and efficiency;
• Stay up-to-date with the latest advancements in Machine Learning research, technologies, and methodologies, and actively contribute to knowledge sharing within the team and organization; and
• Collaborate with stakeholders to define success metrics, and drive Machine Learning roadmaps.

Your skills and experience

We'd love to hear from you if you have:

• Strong experience designing and implementing Machine Learning solutions in real-world applications;
• Demonstrated experience in Machine Learning, deep learning and data-based algorithm development;
• Extensive programming skills in Python;
• Experience with Machine Learning libraries and frameworks such as PyTorch, TensorFlow, NLTK, spacy, scikit-learn, pandas and NumPy;
• Strong understanding of Machine Learning concepts and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing;
• Preferably experience with AWS services such as EC2, ECS, EKS;
• Experience with databases such as SQL and SQLite; and
• Extensive written and verbal communication skills. You must have the ability to effectively collaborate with cross functional teams and stakeholders and have the ability to explain complex/mundane mathematical and computational concepts to business stakeholder in layman terms.

How to Apply

For more information, please call Steven Fulop at u&u Recruitment Partners on 0418 994 446 quoting reference number 34896. Alternatively, to submit an application, please click below. We look forward to receiving your application and assisting you with your job search.

Please note: u&u has been retained as the exclusive recruiter for this role. Any direct or third-party applications will be forwarded to u&u.

Please submit your resume in Word format only.