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PHAZERO

<div>About PhazeRo
At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.
Position Overview
We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.
Key Responsibilities<ul>
<li>Develop scalable machine learning models and algorithms to solve specific business problems.</li>
<li>Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications.</li>
<li>Implement and optimize model deployment pipelines for production environments.</li>
<li>Evaluate model performance and iterate on designs to enhance accuracy and efficiency.</li>
<li>Research and stay current with the latest advancements in machine learning and artificial intelligence.</li>
<li>Document processes and communicate results effectively to stakeholders.</li>
</ul>Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li>
<li>2+ years of experience in machine learning, data science, or related roles.</li>
<li>Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop).</li>
<li>Experience in model evaluation metrics and techniques for model validation.</li>
<li>Strong problem-solving skills and the ability to work independently.</li>
<li>Excellent communication skills and a collaborative approach to work.</li>
<li>Passion for machine learning and eagerness to stay updated with industry trends.</li>
</ul>Benefits<ul>
<li>An honest, entrepreneurial, collaborative, high performance culture.</li>
<li>Infinite opportunities to learn from industry veterans.
</li><li>Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub.</li>
<li>A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.</li></ul></div>

Machine Learning Engineer

<div>About Us
PhazeRo stands at the forefront of AI innovation, dedicated to bridging the gap between advanced technology and business solutions. We work across various sectors, such as Energy, Finance, and BioAI, to empower our clients with intelligent automation and data-driven insights. Our team is made up of visionary thinkers and expert engineers who are passionate about making a significant impact in the AI landscape.
Job Overview
We are seeking an experienced AI Engineer to join our dynamic team. In this role, you will design, implement, and maintain AI systems and applications that enhance our product offerings. You will be responsible for developing sophisticated algorithms, conducting research on state-of-the-art AI methodologies, and implementing solutions that drive efficiency and effectiveness within the business. Working with a collaborative team, you will play a key role in shaping the future of AI at PhazeRo.
Key Responsibilities<ul>
<li>Architect and develop AI models and solutions that align with client requirements and business goals.</li>
<li>Collaborate with data scientists and software engineers to integrate AI capabilities into existing products.</li>
<li>Conduct experiments and prototype new algorithms to push the boundaries of our AI offerings.</li>
<li>Monitor and evaluate AI model performance, implementing improvements based on feedback and data analysis.</li>
<li>Stay up-to-date with the latest developments in AI and machine learning technologies.</li>
<li>Document methodologies and communicate findings effectively to both technical and non-technical stakeholders.</li>
</ul>Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.</li>
<li>3+ years of experience in AI/Machine Learning engineering or a similar role.</li>
<li>Proficient in programming languages such as Python or Java, with expertise in AI frameworks (e.g., TensorFlow, Keras, PyTorch).</li>
<li>Strong understanding of deep learning, natural language processing, and computer vision techniques.</li>
<li>Experience with cloud platforms (e.g., AWS, Google Cloud) and their AI services.</li>
<li>Ability to work with large datasets and familiarity with data preprocessing techniques.</li>
<li>Strong analytical and critical thinking skills, with a problem-solving mindset.</li>
<li>Excellent interpersonal and communication skills to collaborate effectively with team members and clients.</li>
<li>Passion for AI and a commitment to continuous learning and professional development.</li>
</ul>Benefits<ul>
<li>An honest, entrepreneurial, collaborative, high performance culture.</li>
<li>Infinite opportunities to learn from industry veterans.
</li><li>Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub.</li>
<li>A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.</li></ul></div>

AI Engineer

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing. We are hiring
 
 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 
 to join our teams building open source solutions for public cloud and private infrastructure.
 
 
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 
 
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 
 
 
 Location:
 
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 
 
 
 What your day will look like
 
 
 
 <ul>
 <li>
 Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
 </li>
 <li>
 Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
 </li>
 <li>
 Master distributed systems concepts such as observability, identity, tracing
 </li>
 <li>
 Work with both Kubernetes and machine-oriented open source applications
 </li>
 <li>
 Collaborate proactively with a distributed team of engineers, designers and product managers
 </li>
 <li>
 Debug issues and interact in public with upstream and Ubuntu communities
 </li>
 <li>
 Generate and discuss ideas, and collaborate on finding good solutions
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional or academic software delivery using Python
 </li>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Passion for technology evidenced by personal projects and initiatives
 </li>
 <li>
 The work ethic and confidence to shine alongside motivated colleagues
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
 </li>
 <li>
 Thoughtfulness and self-motivation
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Additional skills that would be nice to have
 
 
 
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 
 
 <ul>
 <li>
 Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
 </li>
 <li>
 Hands-on experience with machine learning libraries, or tools.
 </li>
 <li>
 Experience with container technologies (Docker, LXD, Kubernetes, etc.)
 </li>
 <li>
 Experience with public clouds (AWS, Azure, Google Cloud)
 </li>
 <li>
 Working knowledge of cloud computing
 </li>
 <li>
 Passionate about software quality and testing
 </li>
 <li>
 Experience working on an open source project
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

<div>
 
 
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder-led, profitable, and growing.
 
 
 
 The role
 
 
 
 Our Workplace Engineering team are a highly performant group which specialises in web architecture and analytics specialists. Building new tools, dashboards and analytics that empower colleagues, managers and executives to make better decisions and deliver better work.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Design and deliver web-based systems and SAAS
 </li>
 <li>
 Provide new insights into the Canonical workplace experience
 </li>
 <li>
 Enable new processes and improve existing workflows
 </li>
 <li>
 Collaborate proactively with a distributed team
 </li>
 <li>
 Write high-quality code to create new features
 </li>
 <li>
 Debug issues and produce high-quality code to fix them
 </li>
 <li>
 Consistently provide high-quality code reviews to other engineers
 </li>
 <li>
 Discuss ideas and collaborate on finding good solutions
 </li>
 <li>
 Estimate work, set goals and meet them
 </li>
 <li>
 Write project specifications, and epics and understand the risks
 </li>
 <li>
 Understand completion criteria and push work to completion
 </li>
 <li>
 Coaching, mentoring and providing feedback to more junior members of the team, while always developing yourself
 </li>
 <li>
 Connect to many data sources and provide insightful visualisations
 </li>
 <li>
 Database design and architecture for connected systems
 </li>
 <li>
 Developing new and improved working practices for the company
 </li>
 <li>
 Providing tooling to support optimised processes
 </li>
 <li>
 Love what you do.
 
 
 </li>
 </ul>
 
 Who you are
 
 
 
 To be successful in this team you must be an expert in two or more of the following:
 
 
 <ul>
 <li>
 Backend web service programming in Python and Node.JS
 </li>
 <li>
 Solid understanding of web development technologies such as HTML, CSS, and JavaScript.
 </li>
 <li>
 Data analytics and statistical analysis
 </li>
 <li>
 Natural language processing, sentiment analysis, machine learning
 </li>
 <li>
 Data visualisation
 
 
 </li>
 </ul>
 The ideal candidate will use their passion for experimentation and analytics to build tomorrow's tech organisation. This team will help us gain insights into the business and our talent pool, and use those insights to improve the experience of working at Canonical.
 
 
 As a Senior Web Engineer at Canonical, you need an analytical, data-driven mind and a passion to connect and make sense of interesting data from APIs. We focus heavily on the collection of metrics, optimising processes, and ways of working across Canonical. You need to demonstrate leadership, excellence, and consistency and will mentor others in the team.
 
 
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Team Member Assistance Program &amp; Wellness Platform
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass and travel upgrades for long-haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Senior Software Engineer - Digital Workplace

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder-led, profitable, and growing.
 
 
 We are seeking a systems software engineer passionate about software quality, Ubuntu, and the open source community, to join the Ubuntu Release Engineering team as we expand the set of open source packages we fully support and secure.
 
 
 We see release engineering as a first class engineering practice and are looking for people who can bring deep engineering insights to automation, testing capabilities, reporting and data analytics, as well as run processes in partnership with Canonical and community teams.
 
 
 Ubuntu strives to deliver the latest-best free software components, in an easy to use and highly reliable form. We build on the technical excellence of Debian and bring additional focus and shape to the solutions we offer the industry.
 
 
 As an Ubuntu Release Engineer, you must be passionate about the future of Ubuntu, about quality and continuous integration and testing. You will work closely with multiple teams at the heart of Ubuntu and drive quality excellence. You will work closely with the Ubuntu Desktop, Server and Foundations team and put in place metrics for quality. You will research existing issues, troubleshoot and resolve problems, and identify opportunities for improvement and communicate them to the rest of the organization to drive the overall quality of Ubuntu. This is a great opportunity to start and progress your career in the QA domain.
 
 
 
 Location:
 
 
 This is a Globally remote role
 
 
 
 What your day will look like
 
 
 <ul>
 <li>
 Monitor indicators of quality across the Ubuntu ecosystem and products
 </li>
 <li>
 Troubleshoot and resolve issues in Ubuntu Desktop, Ubuntu Server and Ubuntu Core
 </li>
 <li>
 Enhance our continuous integration to guard Ubuntu image, release and package quality
 </li>
 <li>
 Report on KPIs and analytical insights
 </li>
 <li>
 Empower other teams for better planning and constant quality improvements
 </li>
 <li>
 Develop, enhance and automate test cases, from unit tests to end-to-end multi machine workloads
 </li>
 <li>
 Work from home with international travel twice a year, for events up to two weeks long
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 A strong software engineering, Linux, and open source background
 </li>
 <li>
 In-depth knowledge of Python and Shell scripting
 </li>
 <li>
 Experience with C/C++
 </li>
 <li>
 Excellent troubleshooting skills and experience working with others to identify, isolate and resolve issues
 </li>
 <li>
 Experience with quality processes and continuous integration tools
 </li>
 <li>
 Experience working in an agile development environment
 
 
 </li>
 </ul>
 
 Additional Skills That You Might Also Bring
 
 
 
 Experience with Debian/Ubuntu based operating system and good understanding of Debian packaging and snaps would also be a considerable advantage.
 
 
 What we offer you
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues from your team and others
 </li>
 <li>
 Priority Pass for travel and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
 
 
 Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
 
 
 Canonical is an equal opportunity employer
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Linux System Engineer - QA, Tooling, Automation

RYBOA HAIMA

Sets up and operates machine tools to produce precision parts according to specifications. Read blueprints, select cutting tools, and monitor machine operation for accuracy and quality. Perform maintenance and troubleshoot equipment to ensure optimal performance. Here's a more detailed breakdown:Responsibilities:<ul><li>Reading and Interpreting Drawings:Machinists must be proficient in reading and understanding technical drawings, blueprints, and CAD designs to understand the specifications of the parts they need to produce.</li><li>Setting up and Operating Machine Tools:This includes setting up and operating various machines like lathes, milling machines, grinders, and CNC machines. They must select the correct tools, fixtures, and machine settings for each job.</li><li>Quality Control:Machinists are responsible for ensuring the parts they produce meet the required specifications. This involves using precision measuring instruments like micrometers and calipers to check dimensions and tolerances.</li><li>Maintenance and Troubleshooting:They perform routine maintenance on machines, identify potential problems, and troubleshoot issues to ensure smooth operation.</li><li>Following Safety Procedures:Adherence to strict safety protocols is crucial in a machining environment, especially in the oil and gas industry.</li><li>Collaboration:Machinists often work with other team members, including engineers and supervisors, to resolve issues and ensure production goals are met.</li></ul>Essential Skills:<ul><li>Experience of atleast 4 years in oil &amp; gas industry is required</li><li>Mechanical Aptitude:A strong understanding of mechanical principles and the ability to work with various tools and machinery is essential.</li><li>Attention to Detail:Accuracy and precision are vital in machining, so a keen eye for detail is necessary.</li><li>Problem-Solving Skills:Machinists need to be able to identify and troubleshoot problems that may arise during the machining process.</li><li>Communication Skills:Effective communication with other team members is important for coordinating tasks and resolving issues.</li><li>Blueprint Reading:The ability to accurately interpret blueprints and technical drawings is a fundamental skill.</li></ul>Job Type: Full-timeExperience:<ul><li>oil and gas: 4 years (Required)</li></ul>Language:<ul><li>english (Required)</li></ul>

Machinist

Prysmian

<div>
 As part of the Production Team, being responsible for the smooth operation of the extruder machine.
 
 
 
 Key Deliverables
 
 
 
 <ul>
 <li>
 Produce cables with the correct specification by Following Quality Compliance Plan (QCP) at rated speeds.
 </li>
 <li>
 Perform set up jobs efficiently and effectively by following operating instructions and procedures.
 </li>
 <li>
 You will be responsible to follow all safety procedures and requirements.
 </li>
 <li>
 Check the mandate to ensure the cable orders are as per specifications in the machine.
 </li>
 <li>
 You will be responsible to update and insert data into MES system.
 </li>
 <li>
 Communicate with the supervisor for any issues.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Job Profile
 
 
 :
 
 
 
 <ul>
 <li>
 Secondary School.
 </li>
 <li>
 Vocational training.
 
 
 </li>
 </ul>
 
 Skills/Knowledge
 
 
 
 <ul>
 <li>
 Basic understanding about production &amp; quality.
 </li>
 <li>
 In process testing.
 </li>
 <li>
 Basic technical skills.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 3 to 5 years in operating taping machine.
 
 
 </li>
 </ul>
 
 Prysmian , as an Equal Opportunity Employer, aims to attract and recruit individuals with diverse backgrounds, skills, and abilities. We strongly believe that diversity brings significant value at all levels of the organization, increasing the possibility of capturing market opportunities and maximizing value for our customers and stakeholders. With Diversity, Equity, and Inclusion (DE&amp;I) as part of our Social Ambition 2030 and a strategic pillar of our Company culture, Prysmian is committed to the development of an organization that prioritizes talent, where people feel respected, included, and free to fully express their potential just as they are.
 
 
 
 
 All Managers and HRs in Prysmian are responsible for ensuring DE&amp;I policies are respected during the recruiting process, as well as recognizing and mitigating unconscious biases that must not influence our selection processes. All persons will be considered for employment without regard to their race, ethnicity, religion, nationality, origin, citizenship status, socio-economic status, age, sex, gender identity or expression, sexual orientation, marital status, disability, military service or veteran status, pregnancy, parental leave, medical conditions, or any other characteristic protected by applicable federal, state or local laws. Prysmian will endeavor to make a reasonable accommodation for any disclosed physical or neurological condition or disability of a qualified applicant unless the accommodation would impose an undue hardship on the operation of our business.
 
 
 
 
 Visit our DE&amp;I Page to
 
 
 learn more about Prysmian's commitments.
 
 
 
 Your application data will be treated according to our Data Protection Policy. If you believe you require assistance to complete this form or to participate in an interview, please let us know.
</div>

Taping Operator

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