Machine Learning Sme
1 week ago
Open to:
**Australian Citizen With or able to pass baseline security clearance**
**Location**:
**ACT or remote**
The Machine Learning Engineer within the Cognitive Futures team works on diverse projects that deliver advanced tools and services for internal and external stakeholders. Tools and services developed often leverage Natural Language Processing, Deep Learning, Multi-label Classification and other machine learning techniques.
- Experience writing high-quality Python code
- Experience with MLOps or DevOps
- Experience working as part of a team
- Excellent communication skills
- Relevant experience and/or qualifications in data science and software engineering
Deliverables include;
- Delivering innovative AI/ML production solutions to solve complex business problems.
- Researching, designing, implementing, testing, and monitoring AI/ML solutions.
- Building AI/ML models from scratch and helping product managers and stakeholders understand results.
- Delivering effective documentation and presentations to technical teams and stakeholders.
Building new and improving existing MLOps pipelines
**Essential criteria**
**1**
- Experience in AI/ML technologies and proven ability to deliver successful Machine Learning models, proof-of-concepts, and AI solutions using techniques and technologies such as Natural Language Processing, Deep Learning, Classification, and Image Recognition.
- Experience in MLOps or DevOps
- Experience in full stack development.
**Desirable criteria**
- Effective communication skills with ability to explain or translate complex models and findings to business stakeholders.
- Experience with commercial cloud platforms (AWS, Azure, GCP)
- Relevant ICT qualifications and/or Industry certifications, and experience in DevOps and MLOps product lifecycle from inception to production.
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