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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI/ML models to enhance innovative products.
- Company: Join a global tech leader at the forefront of innovation.
- Benefits: Competitive pay, great benefits, and awesome career growth opportunities.
- Why this job: Make a real impact by solving challenging problems with advanced AI solutions.
- Qualifications: Degree in Computer Science or related field; experience in AI/ML development required.
- Other info: Collaborative environment with diverse teams across the globe.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers globally. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
About the Role
We are seeking a talented and motivated AI/ML Engineer to support the development of advanced AI and machine learning solutions. In this role, you will design, develop, and deploy AI/ML models that enhance our products and technologies. You will collaborate closely with engineers, data scientists, and product managers to develop innovative solutions that provide measurable impact.
Why Keysight
- Contribute to cutting-edge AI/ML solutions in a global technology leader.
- Collaborate with teams across multiple disciplines and geographies.
- Work in a high-impact, innovative environment solving challenging problems.
- Competitive compensation, benefits, and career growth opportunities.
Responsibilities
- Design, develop, and deploy AI/ML models to support R&D and product initiatives.
- Collaborate with cross-functional teams to translate business and technical requirements into actionable AI solutions.
- Analyze large datasets to extract insights and optimize model performance.
- Implement scalable and maintainable AI/ML pipelines and frameworks.
- Conduct experiments, validate models, and iterate based on results.
- Stay up-to-date with the latest AI/ML research and techniques relevant to your work.
- Communicate technical findings clearly to both technical and non-technical stakeholders.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field.
- Relevant professional experience in AI/ML development.
- Strong programming skills in Python, C++, or similar languages.
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Experience in data preprocessing, feature engineering, model training, and evaluation.
- Excellent problem-solving, analytical, and communication skills.
Nice to have
- Experience applying AI/ML to complex engineering or technical problems.
- Knowledge of cloud-based ML platforms or distributed training environments.
- Experience with AI/ML model deployment and productionization.
AI/ML Engineer employer: Keysight Technologies
Contact Detail:
Keysight Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer
✨Network Like a Pro
Get out there and connect with folks in the AI/ML space! Attend meetups, webinars, or industry conferences. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to demonstrate your coding chops and problem-solving skills!
✨Ace the Interview
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges and be ready to discuss your past projects. Remember, confidence is key—show them you’re the right fit for their team!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our innovative team at Keysight.
We think you need these skills to ace AI/ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your relevant experience, especially in AI/ML development and any projects that showcase your skills in data-driven modelling. We want to see how you can contribute to our innovative solutions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background aligns with our mission at Keysight. Let us know what excites you about tackling challenging problems in technology.
Showcase Your Projects: If you've worked on any AI/ML projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical examples of your work and how you’ve applied your skills to real-world problems.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Keysight Technologies
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss your experience with frameworks like TensorFlow or PyTorch, and have examples of projects where you've applied these skills. This shows you're not just familiar with the theory but can also apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and problem-solving abilities, which are crucial for an AI/ML Engineer.
✨Collaborate Like a Pro
Since you'll be working with cross-functional teams, highlight your teamwork experiences. Share examples of how you've collaborated with engineers, data scientists, or product managers to develop solutions. This will show that you can communicate effectively and work well in a team environment.
✨Stay Current with Trends
Keep yourself updated on the latest trends and research in AI/ML. Mention any recent papers or breakthroughs that excite you during the interview. This not only shows your passion for the field but also indicates that you're proactive about your professional development.
