QA Automation Engineer

Job Description AI Consultant – Job Description (15+ Years Experience) Job Title: AI Consultant Location: Remote / Hybrid / Onsite Experience: 15+ Years of IT Consulting, Data Analytics, Machine Learning, Artificial Intelligence, or Digital Transformation Experience Job Summary We are seeking an experienced AI Consultant to help organizations leverage Artificial Intelligence technologies to solve business challenges, optimize operations, and drive innovation. The ideal candidate will work closely with business stakeholders, technology teams, and leadership to identify AI opportunities, design AI solutions, implement AI/ML models, and guide organizations through AI adoption and governance. Key Responsibilities Assess business processes and identify opportunities for AI-driven transformation. Conduct AI readiness assessments and develop AI adoption roadmaps. Design and architect AI/ML solutions tailored to business requirements. Lead implementation of predictive analytics, machine learning, and generative AI solutions. Develop proof-of-concepts (POCs), prototypes, and MVPs. Collaborate with engineering teams to deploy AI solutions into production environments. Facilitate workshops and stakeholder meetings. Establish AI governance frameworks and best practices. Conduct AI training and adoption workshops. Required Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field. 5+ years of experience in AI, Machine Learning, Data Science, Analytics, or Technology Consulting. Strong understanding of Machine Learning, Generative AI, NLP, Deep Learning, LLMs, RAG, and AI Agents. Experience with Azure AI, AWS AI/ML Services, and Google Cloud AI. Experience with Python, TensorFlow, PyTorch, Scikit-learn, LangChain, and Semantic Kernel. Experience with Power BI or Tableau. Knowledge of AI governance, security, and compliance frameworks. Preferred Qualifications Master's degree in AI, Data Science, Computer Science, or related field. Azure AI, AWS Machine Learning, or Google ML certifications. Experience implementing Generative AI solutions using Azure OpenAI, OpenAI, or Anthropic. Technical Skills Generative AI, LLMs, Prompt Engineering, AI Agents, RAG, NLP Python, SQL, Jupyter, GitHub, REST APIs Azure AI Services, Azure OpenAI, AWS SageMaker, Google Vertex AI, Databricks Power BI, Tableau, Excel Analytics Soft Skills Communication and presentation skills Consulting and stakeholder management Problem-solving and analytical thinking Executive-level communication Documentation and requirements gathering Qualifications Graduate Range Of Year Experience-Min Year 8 Range Of Year Experience-Max Year 10