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- Tasks: Design and implement enterprise-scale AI solutions in a leading agricultural tech company.
- Company: Join a top agricultural technology firm with a focus on innovation.
- Benefits: Comprehensive benefits package and a stimulating work environment.
- Why this job: Lead the future of AI in agriculture and make a real impact.
- Qualifications: Deep expertise in AI technologies and strategic leadership skills.
- Other info: Opportunity to work in Manchester with potential for career growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading agricultural technology company is seeking an AI Solution Architect to drive the design and implementation of enterprise-scale AI solutions. This role involves architecting scalable ML infrastructure using AWS SageMaker and Databricks, integrating generative AI models, and establishing robust MLOps practices.
The ideal candidate will possess deep expertise in AI technologies and strategic leadership, with the potential for the position to be based in Manchester. The company offers a comprehensive benefits package and a stimulating work environment.
Enterprise AI Solution Architect — GenAI & MLOps Lead in Manchester employer: Syngenta
Contact Detail:
Syngenta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Solution Architect — GenAI & MLOps Lead in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving AWS SageMaker and Databricks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on MLOps practices and generative AI models. Be ready to discuss how you've tackled challenges in past projects and how you can apply that experience to their needs.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Enterprise AI Solution Architect — GenAI & MLOps Lead in Manchester
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your deep expertise in AI technologies and MLOps practices. We want to see how your skills align with the role, so don’t hold back on sharing relevant projects or experiences!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Enterprise AI Solution Architect position. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in Manchester.
How to prepare for a job interview at Syngenta
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS SageMaker, Databricks, and generative AI models. Brush up on your technical knowledge and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Leadership Skills
As this role involves strategic leadership, prepare examples of how you've led teams or projects in the past. Think about challenges you faced and how you overcame them. This will demonstrate your ability to guide others and make impactful decisions.
✨Understand MLOps Practices
Familiarise yourself with robust MLOps practices and be ready to discuss how you would implement them in this role. Highlight any experience you have in streamlining ML workflows or improving model deployment processes, as this is crucial for the position.
✨Research the Company Culture
Take some time to understand the company’s values and work environment. Be prepared to discuss how your personal values align with theirs. This will help you connect with the interviewers and show that you’re genuinely interested in being part of their team.
