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For Companies At a Glance
- Tasks: Build cutting-edge models for content extraction and classification from images and text.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive pay, hands-on experience, and opportunities for growth in AI.
- Why this job: Make a real impact in the exciting field of Document AI and Generative AI.
- Qualifications: Experience in Document AI, Python, and machine learning is essential.
- Other info: Collaborative environment with a focus on continuous learning and development.
The predicted salary is between 36000 - 60000 £ per year.
Job Type: Contract
Work Mode: Onsite (Client)
Responsibilities
- Building production-ready models to drive content extraction and classification from images and text-based sources
- Working closely with business teams to understand requirements and iteratively design and develop solutions
- Collaborating with product managers and technical teams
- Creating, testing, and iterating new and existing products and features
- Designing and building Python / ML / OCR-based components
- Supporting the full lifecycle of the product including deployment, testing, and production support of the application
Qualifications
- Strong experience in Document AI / Intelligent Document Processing using traditional models and Generative AI, particularly using open-source models for achieving business outcomes
- Experience delivering to production in Python with a focus on machine learning, deep learning, natural language processing, generative AI, image processing, and OCR (all additional positives)
- Experience with some of the following frameworks: TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV, Regex or equivalents
- Experience delivering safe code to production with a focus on cybersecurity and resilience of the application and APIs
Nice to Have
- Experience using PostgreSQL for data storage and management
- Proficiency with Azure’s core services like Azure Virtual Machines and experience with one or all of: Azure CLI, Azure Kubernetes Service (AKS), and Azure DevOps
- Experience delivering in teams releasing at a high cadence to production
Machine Learning Developer – Document AI & Generative AI in Sheffield employer: TESTQ Technologies Limited
Contact Detail:
TESTQ Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Developer – Document AI & Generative AI in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Document AI and Generative AI. This is your chance to demonstrate your expertise in Python, ML, and OCR – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to machine learning and AI frameworks like TensorFlow and PyTorch. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and get your application in – we’d love to see what you can bring to the table!
We think you need these skills to ace Machine Learning Developer – Document AI & Generative AI in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Developer role. Highlight your experience with Document AI and Generative AI, and don’t forget to mention any relevant frameworks like TensorFlow or PyTorch. We want to see how your skills match our needs!
Showcase Your Projects: Include specific projects where you've built production-ready models or worked with OCR and image processing. We love seeing real examples of your work, so don’t hold back on the details that show off your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about this role and how your background makes you a perfect fit. We appreciate a personal touch, so let your personality come through while keeping it professional.
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 the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at TESTQ Technologies Limited
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Document AI and Generative AI. Be ready to discuss your experience with Python, machine learning frameworks like TensorFlow or PyTorch, and any relevant projects you've worked on. This will show that you're not just familiar with the concepts but can also apply them effectively.
✨Understand the Business Needs
Before the interview, take some time to research the company and its products. Understand how they use AI in their operations and be prepared to discuss how your skills can help meet their specific business requirements. This shows that you’re proactive and genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning, deep learning, and OCR. Practice explaining complex concepts in simple terms, as you may need to communicate these ideas to non-technical stakeholders. Being able to articulate your thought process clearly can set you apart from other candidates.
✨Showcase Your Collaboration Skills
Since the role involves working closely with product managers and technical teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your ability to iterate on solutions based on feedback and your experience in delivering projects in a team setting. This will demonstrate that you’re a team player who can thrive in a collaborative environment.
