In-Demand Ai engineer ml engineer Jobs in Williams Landing Vic

AI/ML Computational Scientist
Accenture —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
7d
AI Engineer
Pentana Solutions —Melbourne VIC
- Contract
- APIs
- AI
AI Specialist
Australia Post —Richmond VIC
- Full-time
- Hybrid work
- AI
- Negotiation
- Work from home
1d
Data Scientist
Accenture —Melbourne VIC
- Full-time
- Azure
- SQL
- Machine learning
- On-the-job training
- Parental leave
7d
AI ML Engineer
Infosys Singapore & Australia —Melbourne VIC
- Full-time
- Azure
- Management
- Computer Science
Quick Apply
Machine Learning Engineer / Applied Scientist
Up —Melbourne VIC
- $125,000 - $170,000 a year
- Hybrid work
- Doctoral degree
- Data analysis skills
- Research
- Employee assistance program
AI Engineer
Accenture —Melbourne VIC
- Full-time
- Azure
- AWS
- AI
- On-the-job training
- Parental leave
AI LLM Senior Engineer
Accenture —Melbourne VIC
- Full-time
- Master's degree
- Education
- Bachelor's degree
- On-the-job training
- Parental leave
7d
Senior AI / ML Engineer
Artificial Analysis, Inc. —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- Data analysis skills
Quick Apply
14d
Founding ML Engineer
Base Compute —Melbourne VIC
- Full-time
- Master's degree
- AI
Quick Apply
Head of AI
Compare Club —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Health insurance
- Life insurance
Quick Apply
Head of Engineering
EQL —Cremorne VIC
- $200,000 - $250,000 a year
- Full-time
- Hybrid work
- AI
- Annual leave
- Parental leave
Quick Apply
ML Engineer
Kogan —South Melbourne VIC
- Full-time
- Master's degree
- SQL
- Machine learning
- Wellness program
Data Scientist(Agent Evaluations)
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
2d
Staff Software Engineer - AI
Future Secure AI —Melbourne VIC
- Master's degree
- APIs
- AI
Quick Apply
Lead Gen AI Engineer (GCP)
NTT DATA —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- AWS
- APIs
- Parental leave
Full Stack Engineer
NAB —Melbourne City Centre VIC
- Full-time
- Databases
- APIs
- AI
12d
Operations Research and AI Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Master's degree
- AWS
- Bachelor's degree
Platform Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- AI
2d
AI Security Architect
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- AI
2d

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ai engineer ml engineer jobs near williams landing vic

AI/ML Computational Scientist

Accenture -
Melbourne VIC

Apply Now

Job Details

Full-time
7 days ago

Qualifications

Law
Doctoral degree
Computer Science
System architecture
Master's degree
SQL
Education
Bachelor's degree
Machine learning
APIs
Cloud computing
AI
Communication skills

Full Job Description

YOU ARE

As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

THE WORK

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions

Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps

Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC

Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites

Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production

Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools

Justify the value of model approaches in business problems

Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

EDUCATION

Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Minimum of 7 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.

Minimum of 7 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

Minimum of 5 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

Minimum of 4 years of experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..

Experience working with language models like LLM's APIs and optimizing their usage for specific applications.

Experience with the following programming languages: Python, C++, Java, R, SQL

Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders

Strong client-facing skillsets in a consulting environment

Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

MS or PhD in related field preferred (computer science, engineering, etc.)

Apply Now

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ai engineer ml engineer jobs in williams landing vic

AI/ML Computational Scientist

AI Engineer

AI Specialist

Data Scientist

AI ML Engineer

Machine Learning Engineer / Applied Scientist

AI Engineer

AI LLM Senior Engineer

Senior AI / ML Engineer

Founding ML Engineer

Head of AI

Head of Engineering

ML Engineer

Data Scientist(Agent Evaluations)

Staff Software Engineer - AI

Lead Gen AI Engineer (GCP)

Full Stack Engineer

Operations Research and AI Consultant, AWS Professional Services

Platform Engineer

AI Security Architect

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