AI Consultant

Job Description

Role & responsibilities Job Summary: We are looking for an experienced AI Consultant (Part-time / Consultant) with a background in IT services or eCommerce and a strong focus on AI over the last 5 years. The ideal candidate will have deep technical knowledge combined with the ability to advise, design, and guide the implementation of AI solutions for business transformation. This is a strategic, high-impact role suitable for professionals looking for flexible engagement. Key Responsibilities: AI Strategy & Advisory: Partner with business and technical teams to identify AI opportunities across domains. Define AI adoption roadmaps tailored to the clients business objectives. Conduct PoCs, solution evaluations, and ROI analysis. Solutioning & Delivery Support: Provide architectural and design guidance for AI/ML solutions. Advise on the selection and customization of AI models and platforms. Offer hands-on support or oversight in key phases such as data preparation, model building, and deployment. Stakeholder Engagement: Act as a trusted advisor for senior stakeholders, translating business needs into AI-driven solutions. Lead or participate in workshops and knowledge sessions for client teams. Recommend tools, platforms, and best practices based on industry standards. Required Skills & Experience: 12 - 22 years of total experience in IT services or eCommerce domains. At least 5 years of recent, dedicated experience in AI/ML roles. Strong understanding of ML algorithms, NLP, computer vision, and generative AI (e.g., LLMs). Hands-on expertise in Python and popular ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with AI/ML deployment on cloud platforms like AWS, Azure, or GCP. Strong consulting, presentation, and communication skills. Preferred Qualifications: Prior consulting or part-time project-based engagement experience. Knowledge of AI applications in eCommerce such as personalization, fraud detection, and customer analytics. Familiarity with MLOps and production-grade AI pipeline deployment. Advanced degree or AI/ML certification (e.g., AWS/GCP/Azure ML certifications). Engagement Details: Flexible part-time hours or milestone-based consultant engagement. Remote or hybrid working based on project/client needs. Engagement model and duration to be discussed based on mutual alignment