Artificial Intelligence Consultant

Role Overview:

Artificial Intelligence Consultant

Key Responsibilities:

AI Strategy & Consulting

• Identify AI/ML opportunities across business units through stakeholder engagement and workshops
  
• Conduct feasibility assessments and create tailored AI roadmaps
  
• Translate business problems into machine learning or intelligent automation solutions

Solution Design & Development

• Lead the design of AI/ML models for use cases like predictive analytics, natural language processing (NLP), computer vision, recommendation systems, etc.
  
• Develop PoCs and MVPs to demonstrate solution viability using Python, R, or relevant AI tools
  
• Collaborate with data scientists, engineers, and product teams to implement scalable solutions

Data Readiness & Architecture

• Assess the quality and accessibility of internal/external data sources
  
• Recommend or define data pipelines, architectures, and tooling to support AI development
  
• Ensure data governance, privacy, and compliance are maintained in all solutions

Stakeholder Engagement

• Present insights, findings, and recommendations to technical and non-technical stakeholders
  
• Educate clients or internal teams on AI technologies, limitations, and best practices
  
• Support change management and adoption of AI tools within organizations

Nice-to-Haves:

• Experience with cloud AI platforms (AWS SageMaker, Azure ML, Google Vertex AI)
  
• Knowledge of MLOps, model deployment, and monitoring best practices
  
• Experience in NLP, CV, or generative AI (e.g., LLMs like GPT, BERT, etc.)
  
• Familiarity with tools such as Databricks, MLflow, or Apache Spark
  
• Previous experience in consulting or client-facing roles