QA Automation Engineer

Role Overview

QA Automation Engineer at Infinite Computer Solutions. (The provided posting text primarily describes an AI Consultant role rather than QA automation.)

Responsibilities (from provided text)

• Assess business processes and identify opportunities for AI-driven transformation.
• Conduct AI readiness assessments and create AI adoption roadmaps.
• Design and architect AI/ML solutions aligned to business requirements.
• Lead implementation of predictive analytics, machine learning, and generative AI solutions.
• Build proof-of-concepts (POCs), prototypes, and MVPs.
• Collaborate with engineering teams to deploy AI solutions to production.
• Facilitate workshops and stakeholder meetings.
• Establish AI governance frameworks, best practices, and training/adoption workshops.

Requirements (from provided text)

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or related field.
• 5+ years in AI, Machine Learning, Data Science, Analytics, or Technology Consulting.
• Strong knowledge of: Machine Learning, Generative AI, NLP, Deep Learning, LLMs, RAG, and AI Agents.
• Experience with cloud AI services: Azure AI, AWS AI/ML services, and Google Cloud AI.
• Proficiency with: Python, TensorFlow, PyTorch, Scikit-learn, LangChain, Semantic Kernel.
• Experience with Power BI or Tableau.
• Knowledge of AI governance, security, and compliance frameworks.

Preferred Qualifications (from provided text)

• Master’s degree in AI/Data Science/Computer Science or related field.
• Azure AI / AWS Machine Learning / Google ML certifications.
• Experience implementing GenAI using Azure OpenAI, OpenAI, or Anthropic.

Notes / Data Quality

• The posting title/location suggest QA Automation Engineer, but the body contains detailed requirements for an AI Consultant role, including “15+ years” experience and GenAI/LLM/RAG skills.