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- Tasks: Develop AI solutions using Python and collaborate on innovative machine learning projects.
- Company: Fast-growing global workforce solutions company with a diverse culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the AI and machine learning space.
- Qualifications: Strong experience in AI, Python, and machine learning frameworks.
- Other info: Exciting projects with Fortune 1000 companies and excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Net2Source Inc. is one of the fastest growing diversities certified global workforce solutions companies with an unprecedented YoY growth of over 100% for the last 6 years working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and the Middle East.
About the Role
- Location: Sheffield, UK
- Mode of Work: Hybrid 3 Days Onsite per Week
- Type of Hiring: Fixed Term Contract (FTC)
- Project Duration: 6-12 Months
Skills Required:
- MUST HAVE: Strong experience in Document AI Intelligent document processing using traditional models and Generative AI particularly in 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 focusing 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.
- 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.
- Collaborative with product managers and technical teams.
- Create, test, and iterate new and existing products and features.
- Designing and building Python MLOCR based components.
- Not only supporting the development of the product but also the full lifecycle including the deployment, testing, and production support of the application.
Machine Leaning Developer with AI & Python in Sheffield employer: Net2Source (N2S)
Contact Detail:
Net2Source (N2S) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Leaning Developer with AI & Python in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 Python. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to machine learning and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Machine Leaning Developer with AI & Python 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, Python, and any relevant frameworks like TensorFlow or PyTorch. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention any projects you've worked on that relate to the job description.
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your skills in machine learning or AI, make sure to include them. We love seeing real-world applications of your work, especially if they involve generative AI or document processing!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Net2Source (N2S)
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and machine learning frameworks like TensorFlow and PyTorch. Brush up on your knowledge of Document AI and generative AI, as these are crucial for the role.
✨Showcase Your Projects
Prepare to discuss specific projects where you've implemented machine learning solutions. Highlight your experience with document processing and any production-ready models you've built. Real-world examples will demonstrate your skills effectively.
✨Understand the Business Context
Familiarise yourself with how machine learning can drive business outcomes. Be ready to explain how your work can impact the company’s goals, especially in terms of content extraction and classification from images and text.
✨Collaborate and Communicate
Since the role involves working closely with product managers and technical teams, practice articulating your ideas clearly. Show that you can collaborate effectively and iterate on solutions based on feedback, which is key in a hybrid work environment.
