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- Tasks: Develop generative AI models and build advanced ML solutions for real-world applications.
- Company: Join an innovative team delivering cutting-edge AI solutions for global clients.
- Benefits: Enjoy competitive salary, flexible work options, and career growth in AI and ML.
- Why this job: Work on impactful projects that push the boundaries of AI and machine learning.
- Qualifications: 4+ years of AI/ML experience, proficiency in Python, and knowledge of cloud platforms.
- Other info: Be part of our AI revolution and collaborate with diverse teams.
The predicted salary is between 48000 - 84000 £ per year.
🚀 AI Engineer Opportunity (Generative AI & Machine Learning) – Manchester
Are you passionate about pushing the boundaries of AI and machine learning? Join an innovative team delivering cutting-edge solutions for global clients. We’re looking for an experienced AI Engineer to work on impactful projects leveraging generative AI, advanced machine learning models, and Databricks.
What You’ll Do:
• Develop generative AI models like GPT, DALL-E, and Stable Diffusion for real-world applications.
• Build advanced ML solutions for classification, recommendations, and more.
• Create scalable AI pipelines using tools like MLflow and Apache Spark.
• Collaborate with teams to design AI systems for diverse industries.
What You’ll Bring:
• 4+ years of AI/ML experience, including Databricks expertise.
• Proficiency in Python and frameworks like PyTorch or TensorFlow.
• Knowledge of cloud platforms (Azure preferred).
• Passion for solving complex problems and innovating in AI.
Why Join Us?
• Impactful, cutting-edge projects with real-world value.
• Career growth in AI, ML, and Databricks technologies.
• Competitive salary, benefits, and flexible work options.
👉 Ready to innovate? Apply today and be part of our AI revolution!
Ai Engineer employer: TechYard Recruitment
Contact Detail:
TechYard Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ai Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in generative AI and machine learning. Being able to discuss recent trends or breakthroughs during your interview can showcase your passion and knowledge in the field.
✨Tip Number 2
Highlight any hands-on experience you have with Databricks, MLflow, or Apache Spark. If you've worked on projects using these tools, be prepared to discuss specific challenges you faced and how you overcame them.
✨Tip Number 3
Prepare to demonstrate your proficiency in Python and frameworks like PyTorch or TensorFlow. Consider working on a small project or two that you can present during your interview to illustrate your skills.
✨Tip Number 4
Research the industries we serve and think about how your AI solutions could address their unique challenges. This will help you articulate your ideas and show that you're ready to contribute from day one.
We think you need these skills to ace Ai Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning, especially with generative models like GPT and DALL-E. Include specific projects you've worked on that demonstrate your skills in Python, Databricks, and relevant frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your problem-solving abilities. Mention how your background aligns with the company's innovative projects and express your enthusiasm for contributing to impactful solutions.
Showcase Relevant Projects: Include a portfolio or a section in your application that details specific projects you've completed in AI/ML. Highlight your use of tools like MLflow and Apache Spark, and any experience with cloud platforms, particularly Azure.
Highlight Collaboration Skills: Since the role involves collaboration with teams, emphasize your teamwork experiences in your application. Provide examples of how you've successfully worked with others to design and implement AI systems across different industries.
How to prepare for a job interview at TechYard Recruitment
✨Showcase Your AI Projects
Be prepared to discuss specific projects you've worked on, especially those involving generative AI models like GPT or DALL-E. Highlight your role, the challenges you faced, and the impact of your work.
✨Demonstrate Technical Proficiency
Make sure to brush up on your Python skills and be ready to discuss frameworks like PyTorch or TensorFlow. You might be asked to solve a coding problem or explain your approach to building ML solutions.
✨Understand the Tools
Familiarize yourself with Databricks, MLflow, and Apache Spark. Be ready to explain how you've used these tools in past projects and how they can enhance AI pipeline scalability.
✨Express Your Passion for AI
Convey your enthusiasm for AI and machine learning during the interview. Share your thoughts on current trends in the industry and how you envision contributing to innovative solutions.
