Duration:6-month contract (FTC/Subcon) role
Hybrid 3 days onsite
Location:Sheffield
The Role
You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support.
Core Responsibilities
- Model Development: Build and iterate on models for content extraction and classification.
- End-to-End Delivery: Support the full software development lifecycle (SDLC), including testing, deployment, and API resilience.
- Collaboration: Work closely with Product Managers and technical teams to translate business needs into scalable AI solutions.
- Innovation: Continuously test and improve existing features using traditional ML and Generative AI.
Technical Requirements
Mandatory Skills:
- Azure Machine Learning: Proven experience within the Azure ecosystem.
- Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models).
- Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP.
Frameworks & Tools:
- ML/DL: TensorFlow, PyTorch, or Hugging Face.
- Processing: OpenCV, Spacy, Regex, and OCR technologies.
- DevOps/Security: Experience delivering secure, resilient code and managing APIs.
Nice to Have:
- Knowledge of PostgreSQL for data management.
- Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure DevOps.
- Experience in high-cadence production environments.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
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