At a Glance
- Tasks: Develop production-ready machine learning models for content extraction using Document AI.
- Company: Dynamic management consultancy focused on innovative solutions.
- Benefits: Professional development, collaborative environment, and ongoing support.
- Why this job: Join a team that values innovation and offers real-world impact.
- Qualifications: Experience with Document AI, Python, TensorFlow, and PyTorch required.
- Other info: Great opportunities for learning and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A management consultancy is seeking a skilled professional to develop production-ready machine learning models for content extraction across various sources. The ideal candidate should have strong experience with Document AI and be proficient in Python and frameworks like TensorFlow and PyTorch. This role involves close collaboration with business stakeholders and technical teams, focusing on innovative solutions and ongoing product support. You will be part of a dynamic team committed to professional development and learning opportunities.
Document AI Engineer for Production ML & OCR in Sheffield employer: Albany Beck
Contact Detail:
Albany Beck Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Document AI Engineer for Production ML & OCR in Sheffield
✨Tip Number 1
Network like a pro! Reach out to professionals in the Document AI space on LinkedIn or attend industry meetups. Building connections can lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, TensorFlow, and PyTorch. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to collaborate closely with business stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Document AI Engineer for Production ML & OCR in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Document AI and any relevant projects you've worked on. We want to see how your skills in Python, TensorFlow, and PyTorch shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share specific examples of how you've developed machine learning models and collaborated with teams to solve problems.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate how you've used them to create innovative solutions. We love seeing candidates who can think outside the box and tackle challenges head-on!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our dynamic team!
How to prepare for a job interview at Albany Beck
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with TensorFlow and PyTorch. Be ready to discuss specific projects where you've used these frameworks, as well as any challenges you faced and how you overcame them.
✨Showcase Your Document AI Experience
Prepare examples of your work with Document AI, especially in developing production-ready models. Highlight any innovative solutions you've implemented and how they benefited the project or company.
✨Collaboration is Key
Since this role involves working closely with business stakeholders and technical teams, think of instances where you've successfully collaborated with others. Be ready to discuss how you communicate complex technical concepts to non-technical team members.
✨Emphasise Continuous Learning
This position values professional development, so share your passion for learning. Talk about any recent courses, certifications, or personal projects that demonstrate your commitment to staying updated in the field of machine learning and OCR.