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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 43200 - 72000 £ 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!
TechYard Recruitment | Ai Engineer employer: TechYard Recruitment
Contact Detail:
TechYard Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land TechYard Recruitment | Ai Engineer
✨Tip Number 1
Make sure to showcase your experience with generative AI models like GPT, DALL-E, and Stable Diffusion. Highlight any specific projects where you've implemented these technologies to demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with Databricks and its applications in building scalable AI pipelines. If you have any relevant certifications or completed projects using Databricks, be ready to discuss them during the interview.
✨Tip Number 3
Prepare to talk about your proficiency in Python and frameworks like PyTorch or TensorFlow. Consider discussing specific challenges you've faced while using these tools and how you overcame them.
✨Tip Number 4
Since knowledge of cloud platforms is preferred, brush up on Azure and be prepared to explain how you've utilized cloud services in your previous AI/ML projects. This will show your adaptability and readiness for the role.
We think you need these skills to ace TechYard Recruitment | Ai Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the AI Engineer position. Highlight the key responsibilities and required skills, such as experience with generative AI models and proficiency in Python.
Tailor Your CV: Customize your CV to reflect your relevant experience in AI and machine learning. Emphasize your work with Databricks, Python, and any frameworks like PyTorch or TensorFlow that you have used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your problem-solving abilities. Mention specific projects you've worked on that align with the company's focus on innovative AI solutions.
Highlight Collaboration Skills: Since the role involves collaboration with teams, be sure to include examples of how you've successfully worked with others in previous projects. This will demonstrate your ability to contribute to diverse 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 field and how you envision contributing to innovative solutions.
