MUST HAVES

• 5+ years of AI/ML experience, with proven delivery of both predictive and generative AI solutions in business settings;
• Demonstrated consulting experience (e.g., client-facing, pre-sales support, fractional CTO work, or agency consulting);
• Hands-on experience with Generative AI tools and models (e.g., OpenAI GPT, Claude, open-source LLMs, vector databases, LangChain/RAG architectures);
• Experience building or advising on predictive modeling pipelines, using tools like scikit-learn, XGBoost, Prophet, etc.;
• Strong communication skills: able to present to executives and business users, explain technical concepts, and tell compelling data stories;
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices is a plus;
• Self-starter mentality with the ability to kickstart projects, shape ambiguous goals, and move fast with confidence;
• Upper-Intermediate English level.

• Partner with sales and business teams to identify client needs and participate in sales calls to shape compelling AI offerings;
• Collaborate with clients to define AI roadmaps, prioritize use cases, and translate business needs into actionable AI solutions;
• Design and lead proof-of-concepts (PoCs) using Generative AI (e.g., LLMs, RAG pipelines, agents) and Predictive AI (e.g., forecasting, classification, clustering);
• Act as a trusted strategic advisor, helping clients understand where AI fits in their product or data journey;
• Collaborate with internal teams to ensure a smooth transition from early consulting phases to implementation;
• Contribute to proposals, workshops, and documentation for AI adoption initiatives;
• Optionally: Evangelize our capabilities by writing, speaking, or mentoring internally.