Total 4,729 failure analysis engineer job vacancies in nsw sydney city inner west

Job Overview:

We are looking for a highly motivated AI Engineer to join our team. As an AI Engineer you will design, develop, and deploy machine learning models and AI systems that will be used to power our innovative products and services. You will work on cutting-edge projects with a cross-functional team, contributing to both research and production-grade AI systems.

Key Responsibilities:

• Design, develop, and implement machine learning algorithms and models to solve complex problems.
• Collaborate with data scientists, software engineers, and product teams to build scalable AI solutions.
• Build and optimize data pipelines and workflows to support AI model training and inference.
• Conduct experiments, model evaluations, and fine-tuning to ensure the best performance of AI systems.
• Develop and deploy AI models to production environments, ensuring they are scalable and efficient.
• Write clean, maintainable, and well-documented code for AI systems and tools.
• Monitor and troubleshoot AI model performance in production, providing improvements and updates.
• Stay up to date with the latest advancements in AI/ML research and technologies, and apply them to real-world problems.
• Contribute to open-source AI tools and frameworks when applicable.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Strong proficiency in programming languages such as Python, C++, or Java.
• Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn.
• Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI models.
• Strong understanding of machine learning algorithms (e.g., supervised/unsupervised learning, reinforcement learning, deep learning).
• Familiarity with natural language processing (NLP), computer vision, or other AI domains is a plus.
• Experience in deploying machine learning models in production environments using tools like Docker and CI/CD pipelines.
• Strong analytical and problem-solving skills with the ability to handle complex data.
• Excellent collaboration and communication skills, with the ability to work in a cross-functional team environment.

Nice-to-Haves:

• Experience with big data tools such as Apache Spark or Hadoop.
• Familiarity with reinforcement learning or deep reinforcement learning.
• Knowledge of data engineering and big data architectures.
• Experience in research or contributing to academic papers in AI/ML.

Perks & Benefits

• Nearby public transport
• Central location
• Free snacks / Happy hours
• Regular team activities

Job Responsibilities

• Prepare and manage tender documentation, including technical proposals and method statements
• Utilize AutoCAD and other documentation software for project planning and design
• Conduct site inspections and oversee quality assurance and control (QAQC) process
• Apply a basic understanding of construction machinery and equipment in tendering processes

Requirement

• Bachelors Degree in Civil Engineering or Construction Management
• Minimum of 5 years of hands-on site experience with a focus on infrastructure projects, including highways, bridges or ports
• Proficiency in AutoCAD and other relevant documentation software
• Ability to work independently and as part of a team in a fast paced environment
• Must be able to read and write in Mandarin

Prefer Chinese Candidate

Perks & Benefits

•  Medical
•  EPF
• Sosco

Job Responsibilities

• Prepare and manage tender documentation, including technical proposals and method statements
• Utilize AutoCAD and other documentation software for project planning and design
• Conduct site inspections and oversee quality assurance and control (QAQC) process
• Apply a basic understanding of construction machinery and equipment in tendering processes

Requirement

• Bachelors Degree in Civil Engineering or Construction Management
• Minimum of 5 years of hands-on site experience with a focus on infrastructure projects, including highways, bridges or ports
• Proficiency in AutoCAD and other relevant documentation software
• Ability to work independently and as part of a team in a fast paced environment
• Must be able to read and write in Mandarin

Prefer Chinese Candidate

Perks & Benefits

•  Medical
•  EPF
• Sosco

Position: Senior Product Manager (Technology Consulting, Business Analysis)
Location: Sydney, Australia
WorkStyle: Sydney Hybrid based
Simple Machines. Data Engineered to Life™

Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and citizens. We are a team of creative engineers and technologists dedicated to unleashing the potential of data in new and impactful ways. We design and build bespoke data platforms and unique software products, create and deploy intelligent systems, and bring engineering expertise to life by transforming data into actionable insights and tangible outcomes.

About You

We are looking for a consultant-minded individual who is passionate about working closely with clients to solve complex problems and lead them on a journey from discovery to technical implementation. You have a knack for understanding client needs and delivering market-leading solutions and have worked in Technology Consulting | Business Analysis | Software Development

You will love and excel in this role if you:

• Have a strong background in Technology Consulting, played a Senior Manager role within a top-tier consulting company.
• Have a refined understanding of how modern software is built and delivered (tools, methodologies, roles, common challenges etc.)
• A demonstrated knowledge of different methods and tools that help you to perform analysis, testing, product management and delivery in a range of environment
• Know how to effectively communicate information between people at all levels of the business, in written and verbal form
• Have a passion for accruing knowledge, and using that knowledge to continuously improve yourself and the team’s performance
• Personal interest in best practice and trends of the technology industry, with the ability to apply these to your day-to-day work
• A relationship builder by nature, and someone who can thrive in new teams and new situations
• A proactive person who knows what needs to be done, how to approach it, and how to influence others to move things forward
• An ambitious person who is excited about the prospect of joining a small, close-knit ANZ team of experts and helping it to grow

The Exciting Part

Simple Machines is not your average consultancy or software engineering firm. Our team is comprised of inspiring industry leaders in Consulting, Data Engineering, Machine Learning, and Artificial Intelligence. Our projects, for a global client base, are data-focused and drive real change.

About the Role

We are looking for someone to join our close-knit team of experts to help deliver our client engagements as we scale our ANZ business. If you excel in client facing roles, have a deep understanding of how modern software is built and delivered, and have a passion for technology then we’d love to hear from you.

Here’s a brief overview of the role’s responsibilities:

Drive the engagement

• Understand each clients’ unique business needs, the ‘why’ behind each project and develop solutions that will fulfil each clients’ success criteria
• Act as a translator between business teams and technology delivery
• Develop domain expertise unique to each engagement

Feed the engineering team

• Provide high quality written requirements, acceptance criteria, feature overviews, test cases and other artefacts for the team to work from
• Run effective meetings with team and stakeholders

Drive the team’s direction

• Clearly articulate the business needs and work with the tech team to translate these into technical requirements
• Persuade the client and the SM team on what should be done and why

Increase the team’s speed

• Understand and anticipate dependencies in software delivery
• Enable decision making through excellent communication

Assure the team’s focus

• Protect the engineering team from day to day ‘noise’
• Embed and optimise processes to handle our scope of work and new demand

Assure SM’s position with the client

• Build and nurture relationships with clients at all levels
• Help to manage SM’s delivery risk