At a Glance
- Tasks: Design and implement AI solutions to tackle real-world challenges.
- Company: Join Cyber Infrastructure, a leader in innovative AI technology.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge tech.
- Why this job: Be at the forefront of AI development and make a tangible impact.
- Qualifications: 2-6 years in AI, strong programming skills, and a passion for innovation.
- Other info: Dynamic team environment with opportunities for collaboration and learning.
The predicted salary is between 24000 - 40000 ÂŁ per year.
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Position
AI Engineer
Department
Artificial Intelligence Jobs – AI Engineer
Skills Required
Artificial Intelligence
Experience Required
2 years – 6 years
Educational Qualification(s) Required
BE / ME (CS / IT) or equivalent
Overview of Job
We are seeking a skilled and passionate AI Engineer with 2 to 6 years of experience to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning technologies. You will work on building intelligent systems and solutions that drive business outcomes, ranging from predictive models to real-time AI-driven applications.
Duties & Responsibilities
- Design, develop, and implement AI/ML algorithms and models to solve business challenges.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
- Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
- Develop data pipelines and preprocessing methods for model training and deployment.
- Monitor, evaluate, and improve the performance of AI models and systems.
- Conduct experiments to validate hypotheses and enhance AI system capabilities.
- Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
- Create technical documentation for AI models and workflows.
Required Skills & Qualifications
- Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, R, or Java.
- Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
- Strong understanding of data structures, algorithms, and statistics.
- Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
- Knowledge of MLOps tools and practices for model deployment and monitoring.
- Ability to work with large datasets and build scalable AI solutions.
- Strong problem-solving and critical-thinking skills.
- Excellent communication and collaboration skills.
- Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
- Exposure to big data technologies (e.g., Hadoop, Spark).
- Knowledge of model interpretability and explainability methods.
Work Location
London – England
Working Model
Work from Office.
You should be open to working on-site at our locations or client sites. Remote work may be available – apply now and check with the recruiter.
Apply from Locations
London / Birmingham / Manchester / Liverpool / Leeds / Sheffield / Teesside / Bristol / Bournemouth / Newcastle / Leicester
Apply Now
Seniority level
-
Seniority level
Entry level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
-
Industries
IT Services and IT Consulting
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Overview of AI Engineer Job employer: Cyber Infrastructure (CIS)
Contact Detail:
Cyber Infrastructure (CIS) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Overview of AI Engineer Job
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or industry events. You never know who might have a lead on your dream job or can give you insider tips about Cyber Infrastructure.
✨Show Off Your Skills
Create a portfolio showcasing your AI projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to impress potential employers with your hands-on experience!
✨Ace the Interview
Prepare for technical interviews by brushing up on your machine learning frameworks and coding skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, you can keep an eye on new openings that match your skills and interests.
We think you need these skills to ace Overview of AI Engineer Job
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with machine learning frameworks and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any AI-driven projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience. Include links if possible – we love seeing your work in action!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us that you're serious about joining our innovative team at Cyber Infrastructure.
How to prepare for a job interview at Cyber Infrastructure (CIS)
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, machine learning, and deep learning technologies. Be ready to discuss specific frameworks like TensorFlow or PyTorch, and have examples of projects where you've applied these skills.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in previous roles. Think of specific challenges you faced, the solutions you implemented, and the outcomes. This will demonstrate your critical-thinking abilities and hands-on experience.
✨Collaborate Like a Pro
Since collaboration is key in this role, be ready to share experiences where you worked with cross-functional teams. Highlight how you integrated AI solutions into existing systems and the impact it had on the project.
✨Stay Updated on Trends
Research the latest advancements in AI and machine learning before your interview. Being able to discuss current trends or recent breakthroughs shows your passion for the field and your commitment to continuous learning.