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About Us: Net2Source Inc. is one of the fastest growing diversification‑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
Job Title: Machine Learning Engineer
Location: Sheffield, UK
Mode of Work: Hybrid (2 Days Onsite in Week)
Tesla Type: Fixed Term Employment (FTE)
Project Duration: 12್ಥ Months (Possible Extension)
Skills
* Mandatory: Machine Learning – AIOPS
* Good to Have: Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI – LLMOps, RPA – Microsoft Power Automate, Deep Learning – AIOPS, Reinforcement Learning – AIOPS
Required Experience
* Strong experience in Document AI Intelligent document processing using traditional models and Generative AI, particularly with open‑source models to achieve business outcomes.
* Experience delivering production-ready solutions in Python with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR; all additional positives.
* Experience with frameworks such as 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, Azure CLI, Azure Kubernetes Service (AKS), and Azure DevOps.
* Experience releasing to production in teams at a high cadence.
Responsibilities
* Build production‑ready models to drive content extraction and classification from images and text‑based sources.
* Work closely with business teams to understand requirements and iteratively design and develop solutions.
* Collaborate with product managers and technical teams: create tests, iterate new and existing products and features.
* Design and build Python MLOCR‑based components, supporting the product development lifecycle including deployment, testing and production support of the application.
Additional Details
* Seniority levelasz: Mid‑Senior level
* Employment type: Full‑time
* Job function: Information Technology
* Industries: Staffing and Recruiting
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