Job Title: AI/Machine Learning Scientist
Company Name: Closed.AI
Location: Brisbane/Queensland. Remote working will be
considered for the right candidate.
Job Type: Full time
About Us: : Closed Ai is a niche start-up Ai company. We have several
products active and under development that span multiple verticals. Our
flagship product is Voice. Voice provides automated services for Contact
Centres and IT service desks. As well as making enterprise knowledge
more easily accessible for workers.
Job Description: As an AI/Machine Learning Scientist at Closed.AI, you
will be responsible for designing, developing, and implementing machine
learning models and algorithms and Large Action Models that can
automate business processes. You will work closely with cross-functional
teams, including data engineers, software developers, and domain
experts, to drive advancements in AI technologies.
Key Responsibilities:
Research, design, and implement machine learning models to solve
business challenges.
Develop Large Action Models with relevant data sets.
Collaborate with data engineers to collect, pre-process, and analyze
large datasets.
Work closely with software developers to integrate machine learning
models into production systems.
Stay abreast of the latest developments in AI and machine learning
research to inform project strategies.
Provide expertise and guidance on machine learning best practices
to the broader team.
Contribute to the development and maintenance of a scalable and
robust AI infrastructure.
Requirements:
Ph.D. or Master's degree in Computer Science, Data Science,
Machine Learning, or a related field.
Experience in AI/Machine Learning research and development.
Proficiency in programming languages Python.
Experience with popular machine learning frameworks (TensorFlow,
PyTorch, scikit-learn).
Experience with NVIDIA enterprise software
Experience with using NVIDIA GPU’s for building AI models
Strong mathematical and statistical background.
Excellent problem-solving and critical-thinking skills.
Preferred Qualifications:
Experience with deep learning techniques and architectures.
Familiarity with natural language processing (NLP) and computer
vision.
Knowledge of distributed computing and cloud platforms (AWS,
Azure, or Google Cloud).
Strong publication record in relevant conferences or journals.
Benefits:
Competitive salary
Health insurance
Short term/Long term incentives
Opportunities for professional development and continued learning