Total 114 operations engineer job vacancies in Maintenance / Repair category in Australia

BlueScope is an Australian-born global success story spanning 15 countries. Our team of over 16,500 people is our strength and we want our people to be safe, successful and well. We’re leaders and innovators in transforming steel into smart products and solutions that support society, today and in the future. We’re proud of brands, like COLORBOND ® steel that inspire and protect everything from hospitals to bridges and stadiums.

The Opportunity

Our Lysaght business is looking for a Operations Technician to join the Operations based in MAckay. Made in Australia since 1921, Lysaght manufactures and markets steel building products that have helped shape the nation: from iconic corrugated roofing over Australian homes, to large commercial and industrial projects.

Being in an Operations Technician role with us, you’ll be working in a continuous production environment, operating machinery the produces roofing and wall cladding materials. Using 100% Australian made steel in the manufacturing process, you’ll be key to providing customers with what they need, when they need it. 

This will be working Day Shift from 6am with the eligibility to work OT when possible.

What Will You Do?

As someone who is committed to the safety of their team and delivering on customer expectations you will be:

• assisting with the setting up, adjusting, and operating of machinery for producing roofing and other steel roofing products
• learning how to read and interpret detailed orders and drawings for production
• monitoring product quality, ensuring finished product meets expected requirements   
• jumping in helping other departments when and where the need arises

More About You

Being a reliable and dedicated individual with a willingness to learn and develop yourself, you will also bring: 

• exposure or interest in, working in a manufacturing environment
• the ability or willingness to learn how to drive a forklift
• a positive attitude and a keen eye for detail
• the ability to work in a fast-paced environment
• a commitment to your own safety and wellbeing and care for others

Why BlueScope​

As we’re creating strength for the future through our people, products and solutions, BlueScope supports you to build your expertise within a safe and positive team environment. At BlueScope, you’ll:​

• Learn and develop as you grow. Work alongside specialists and keep your skills and knowledge at the forefront of industry with our lifelong learning culture.​
• Experience connection and care. Experience a positive, inclusive work environment where we look out for each other’s safety and wellbeing.​
• Build innovative products. Seek better, smarter ways to work, help develop sustainable solutions and make things happen.​
• Deliver work that matters. Every action you take matters in delivering for our customers and strengthening communities for the future. We value what you do. ​

At BlueScope, we offer work-life flexibility through our B-flex program. We’re committed to fostering an inclusive environment where every employee feels respected and valued to be their authentic selves, and welcome people of all backgrounds, skills, experiences and perspectives. We’re passionate about driving sustainability outcomes that matter to our communities, including action on climate and our 2050 net zero goal.​

It’s an exciting time in our history as, together, we work towards Our Purpose: “We create and inspire smart solutions in steel, to strengthen communities for the future.” ​

Come and discover us at www.bluescope.com/auscareers​

Join us, creating strength for the future.

Applications close Thursday, 24th October 2024.

What is this role about?

In this varied and hands on role, the Facilities and Operations Officer will be responsible for providing a warm, professional greeting to all visitors, dealing with facilities requests either in person or through contractors when required, ensuring the set up and cleanliness of the meeting room space on the reception floor, and overseeing facilities and office related administrative tasks.

They are responsible for providing professional, efficient, and effective support to the Senior Manager, WHS and Facilities and broader teams.
  
The responsibilities in this role include but are not limited to the following:

Facilities

• Assisting with employee desk relocations including chairs and desk drawers, ensure they are ergonomically set up
• Maintaining floor plan records
• Coordinate or complete general repairs, maintenance duties and servicing as required, including the coordination of trades people
• Advise building management of any issues they are responsible for, such as plumbing, electricity, lift, power
• Receive, action and investigate calls from the Monitoring Centre

WHS

• Assist with WHS matters, including incident inspections, when required
• Assist with managing requests for Ergonomic Assessments and work with the business on implementing any requests from these assessments as required
• Work with people leaders to manage employee requests for reasonable adjustments to their work stations at home or in the office
• Monitor the first aid room and first aid supply levels
• Play an active role in emergency evacuations

Administration/Reception

• Greeting visitors to the office during core office hours
• Maintain the guest log in system (SINE)
• Maintain and update processes and procedures, ensuring efficient information management
• Data entry and generation of required reporting, such as daily security logs

About Us:

At Spinify, we're transforming how sales teams learn, grow, and succeed through cutting-edge AI-driven coaching and performance tools. We are on a mission to shift from gamification towards an intelligent coaching platform that leverages AI and real-time data to deliver personalized coaching, learning, and competition recommendations for sales teams. As we scale, we’re looking for an experienced AWS Machine Learning Engineer to help us build and maintain an innovative platform that ties coaching, learning, and AI together in a way that’s never been done before.

The Role:

We are seeking a Senior AWS Machine Learning Engineer who will be responsible for designing, developing, and deploying AI-powered solutions that personalize learning experiences, predict performance outcomes, and provide real-time coaching feedback. You will be working with a stack of cutting-edge AWS technologies to create an adaptive system that integrates real-time data, predictive analytics, and machine learning models.

Key Responsibilities:

• Build and deploy scalable Machine Learning models using AWS SageMaker for personalized learning, predictive analytics, and performance coaching.
• Develop and manage real-time data pipelines using AWS Kinesis and AWS Glue for streaming performance data, integrating third-party data sources, and ensuring accurate data flow.
• Design, implement, and optimize natural language querying using AWS Q to allow managers and users to interact with performance data and get actionable insights.
• Use Amazon Personalize to create dynamic, personalized learning paths and recommendations for users based on their performance and activity.
• Implement emotional intelligence analysis using Amazon Rekognition and Amazon Comprehend to analyze video coaching sessions and deliver AI-driven feedback on tone, sentiment, and body language.
• Build and maintain real-time dashboards using Amazon QuickSight for visualizing performance data, coaching progress, and competition standings.
• Create serverless workflows using AWS Lambda and API Gateway to automatically trigger coaching suggestions, performance alerts, and competition rule adjustments based on real-time data.
• Work with AWS Bedrock to integrate generative AI models for creating personalized quizzes, coaching strategies, and competition challenges.
• Ensure data privacy and security across all services, managing user access with AWS IAM and maintaining compliance with best practices (GDPR, SOC2, etc.).

Requirements:

• 5+ years of experience with AWS Cloud Services, particularly SageMaker, Kinesis, Glue, Lambda, Personalize, and QuickSight.
• Strong background in machine learning, including model training, optimization, and deployment using AWS SageMaker.
• Experience in building and managing real-time data pipelines using Kinesis and integrating large datasets using Glue or other ETL tools.
• Expertise in Natural Language Processing (NLP), with practical experience using Amazon Comprehend and Amazon Transcribe for sentiment and text analysis.
• Familiarity with AWS Bedrock and integrating generative AI models into real-world applications.
• Strong programming skills in Python and SQL.
• Experience with API development using API Gateway and Lambda for creating serverless, scalable APIs.
• Experience building real-time data visualizations and dashboards using Amazon QuickSight.
• Knowledge of data security best practices, including working with AWS IAM and compliance frameworks such as GDPR and SOC2.
• Strong analytical and problem-solving skills, with the ability to optimize performance and scale solutions.

Preferred Qualifications:

• Previous experience working in sales enablement or coaching platforms.
• Experience with DevOps tools such as CloudFormation or Terraform for automating infrastructure deployment and scaling.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for advanced AI model building.

What We Offer:

• Competitive salary with performance-based bonuses.
• Remote work flexibility.
• Opportunity to work with cutting-edge AI and cloud technologies.
• A collaborative and innovative team environment.
• Opportunities for professional development and growth in the AI and ML space.