Machine Learning: AIOPS

Machine Learning: AIOPS

Posted 1 day ago by Infoplus Technologies UK Limited

Negotiable
Undetermined
Hybrid
Sheffield, England, United Kingdom

Summary: The role of Machine Learning: AIOPS involves developing production-ready models for content extraction and classification from various sources, primarily focusing on document AI and intelligent document processing. The position requires collaboration with business teams and product managers to design and iterate solutions, while also managing the full lifecycle of applications including deployment and support. Strong experience in machine learning, deep learning, and natural language processing is essential, particularly with Python. The role is based in Sheffield, UK, and operates in a hybrid working arrangement.

Key Responsibilities:

  • Building production-ready models for content extraction and classification from images and text-based sources.
  • Collaborating with business teams to understand requirements and iteratively design and develop solutions.
  • Working closely with product managers and technical teams.
  • Creating, testing, and iterating new and existing products and features.
  • Designing and building Python-based OCR components.
  • Supporting the full lifecycle of the product, including deployment, testing, and production support.

Key Skills:

  • Strong experience in Document AI and intelligent document processing using traditional models and Generative AI.
  • Experience delivering to production in Python with a focus on machine learning, deep learning, natural language processing, generative AI, image processing, and OCR.
  • Familiarity with frameworks such as TensorFlow, Pytorch, Hugging Face, Spacy, and OpenCV.
  • Experience delivering safe code to production with a focus on cybersecurity and application resilience.
  • Nice to have experience with PostgreSQL, Azure services, Azure CLI, Azure Kubernetes Service, and Azure DevOps.

Salary (Rate): undetermined

City: Sheffield

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: Machine Learning: AIOPS

Location: Sheffield, UK (Hybrid)

Type: Contract Position

Please find below JD:

Mandatory Skills : Machine Learning - AIOPS

Good to Have Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Deep Learning - AIOPS, Reinforcement Learning – AIOPS

Job description

Machine Leaning Developer

Principal responsibilities

  • Building productionready models to drive content extraction and classification from images and textbased sources
  • Working closely with business teams to understand requirements and iteratively design and develop solutions
  • Collaborative with product managers technical teams
  • Create test and iterate new and existing products and features
  • Designing and building PythonMLOCRbased components
  • Not only supporting the development of the product but also the full lifecycle including the deployment testing and production support of the application

Required experience

MUST HAVE

  • Strong experience in Document AIIntelligent 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 Azures 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