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- Tasks: Design, develop, and deploy cutting-edge AI/ML models in the Telco industry.
- Company: Join a forward-thinking team at the forefront of AI technology.
- Benefits: Enjoy a competitive rate, hybrid work options, and long-term project stability.
- Why this job: Be part of innovative solutions that shape the future of technology while mentoring others.
- Qualifications: Ph.D. or MSc in Computer Science or related field; experience in AI/ML development required.
- Other info: Opportunity for growth and collaboration with cross-functional teams.
The predicted salary is between 60000 - 84000 £ per year.
We are seeking a highly motivated and experienced AI/ML Developer to join our team at the forefront of designing cutting-edge solutions in the Telco industry. In this role, you will be responsible for the end-to-end design, development, and deployment of AI/ML models. You will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML solutions.
KEY RESPONSIBILITIES:
- Designing, developing, and deploying AI/ML models and solutions, including LLMs and GenAI.
- Performing feature engineering and selection to optimize model performance.
- Selecting and implementing appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.
- Training, evaluating, and optimizing models using machine learning and statistical techniques.
- Conducting extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications.
- Deploying models to production environments, ensuring robustness and scalability.
- Monitoring model performance and defining strategies for identifying drift; retraining or refining models as needed.
- Collaborating with cross-functional teams to integrate AI/ML models with business applications and systems.
- Staying updated on the latest advancements in AI/ML technologies.
- Leading and mentoring junior team members.
- Developing and maintaining comprehensive documentation for AI/ML pipelines and workflows.
Key Performance Indicators (KPIs) for the role:
- Successful deployment of AI/ML models into production.
- Improvement in model performance metrics (e.g., accuracy, precision, recall).
- Reduction in model drift and timely retraining of models.
- Effective collaboration with cross-functional teams.
- Contribution to innovation and staying updated with AI/ML advancements.
- Mentorship and development of junior team members.
KEY JOB REQUIREMENTS:
- Experience in AI/ML development.
- Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Skills & Competencies:
- Must Have: Proficiency in Python, R, or other relevant programming languages.
- Proficiency in working with large datasets, data wrangling, and data preprocessing.
- Ability to work independently and lead projects from inception to deployment.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
Preferred Skills:
- MSc or PhD in Computer Science, Artificial Intelligence, or related field.
ADDITIONAL NOTES:
- Ability to work independently or as part of a team.
Artificial Intelligence Engineer employer: Silicon Logic UK Ltd.
Contact Detail:
Silicon Logic UK Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the latest AI/ML technologies and frameworks mentioned in the job description, such as TensorFlow and PyTorch. Being able to discuss recent advancements or projects you've worked on using these tools can really impress during interviews.
✨Tip Number 2
Showcase your experience with large datasets and data preprocessing techniques. Prepare examples of how you've optimised model performance through feature engineering or data exploration, as this is a key responsibility for the role.
✨Tip Number 3
Highlight any leadership or mentoring experiences you have, especially if you've guided junior team members in AI/ML projects. This aligns well with the role's requirement for collaboration and mentorship.
✨Tip Number 4
Be ready to discuss your approach to monitoring model performance and handling model drift. Having a clear strategy for retraining models will demonstrate your proactive mindset and technical expertise.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML development. Focus on projects where you've designed, developed, or deployed AI/ML models, and include specific technologies you've used, such as TensorFlow or PyTorch.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI/ML and your understanding of the Telco industry. Mention any relevant academic achievements, especially if you have a PhD, and explain how your skills align with the job requirements.
Showcase Your Projects: If you have worked on significant AI/ML projects, consider including a portfolio or links to your work. This could be GitHub repositories or published papers that demonstrate your expertise and contributions to the field.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your teamwork and collaboration experiences. Provide examples of how you've successfully worked with others to achieve project goals, particularly in AI/ML contexts.
How to prepare for a job interview at Silicon Logic UK Ltd.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI/ML algorithms and frameworks like TensorFlow or PyTorch. Bring examples of projects you've worked on, especially those involving LLMs or GenAI, to demonstrate your technical prowess.
✨Understand the Business Context
Research the Telco industry and understand how AI/ML can be applied to solve real-world problems. This will help you articulate how your skills can contribute to the company's goals during the interview.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process when designing and deploying AI/ML models, as well as how you handle data quality and model performance.
✨Demonstrate Leadership and Mentorship
Since the role involves leading and mentoring junior team members, be ready to discuss your leadership experiences. Share examples of how you've guided others in previous roles or projects, highlighting your ability to foster a collaborative environment.
