Machine Leaning Engineer

Get AI-powered advice on्टthis job and more exclusive features. Direct message the job poster from Net2Source (N2S) 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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• 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, 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., 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.