AI/ML Presales Consultant
Budget: $20 – $30 SGD
Overview
We are looking for an experienced AI/ML Presales Consultant who can understand customer business processes, identify pain points, and propose suitable AI/ML solutions that deliver measurable value. The role combines technical understanding with strong business consulting, requirement gathering, and solution presentation skills.
Key Responsibilities
Engage with customers to understand business objectives, workflows, and operational challenges.
Conduct discovery sessions and requirement workshops with business & technical stakeholders.
Identify opportunities where AI/ML, automation, and data-driven solutions can enhance efficiency, decision-making, or user experience.
Define problem statements, use cases, and high-level solution approaches.
Collaborate with technical teams to draft solution architecture, feasibility assessments, and effort estimations.
Prepare client-facing presentations, PoCs, and proposal documents.
Support RFP/RFI responses for AI/ML and analytics engagements.
Articulate the business value, ROI, and tangible benefits of the proposed solutions.
Stay updated on latest AI/ML tools, platforms, LLMs, GenAI, automation frameworks, and industry best practices.
Required Skills
Strong understanding of AI/ML concepts such as:
Predictive analytics, forecasting, classification, NLP/LLM, GenAI, RPA, model evaluation, etc.
Ability to translate business problems into AI/ML use cases.
Ability to communicate complex technical concepts to non-technical audiences.
Familiarity with modern data platforms, cloud providers (AWS/Azure/GCP), and MLOps practices.
Experience in proposal creation, solution pitching, and pre-sales cycles.
Acceptance Criteria
Minimum 5 years of experience in AI/ML solutioning, consulting, or presales.
Experience leading client discussions and presenting solutions.
Demonstrated ability to define business use cases and value propositions.
Exposure to enterprise customers or large-scale business transformation initiatives.
Good to Have
Exposure to GenAI use cases (chatbots, document intelligence, workflow augmentation, etc.).
Experience running PoCs or MVPs.
Prior consulting or product company experience.
Experience in specific domains (optional): Retail, Logistic, Manufacturing, etc.
We are looking for an experienced AI/ML Presales Consultant who can understand customer business processes, identify pain points, and propose suitable AI/ML solutions that deliver measurable value. The role combines technical understanding with strong business consulting, requirement gathering, and solution presentation skills.
Key Responsibilities
Engage with customers to understand business objectives, workflows, and operational challenges.
Conduct discovery sessions and requirement workshops with business & technical stakeholders.
Identify opportunities where AI/ML, automation, and data-driven solutions can enhance efficiency, decision-making, or user experience.
Define problem statements, use cases, and high-level solution approaches.
Collaborate with technical teams to draft solution architecture, feasibility assessments, and effort estimations.
Prepare client-facing presentations, PoCs, and proposal documents.
Support RFP/RFI responses for AI/ML and analytics engagements.
Articulate the business value, ROI, and tangible benefits of the proposed solutions.
Stay updated on latest AI/ML tools, platforms, LLMs, GenAI, automation frameworks, and industry best practices.
Required Skills
Strong understanding of AI/ML concepts such as:
Predictive analytics, forecasting, classification, NLP/LLM, GenAI, RPA, model evaluation, etc.
Ability to translate business problems into AI/ML use cases.
Ability to communicate complex technical concepts to non-technical audiences.
Familiarity with modern data platforms, cloud providers (AWS/Azure/GCP), and MLOps practices.
Experience in proposal creation, solution pitching, and pre-sales cycles.
Acceptance Criteria
Minimum 5 years of experience in AI/ML solutioning, consulting, or presales.
Experience leading client discussions and presenting solutions.
Demonstrated ability to define business use cases and value propositions.
Exposure to enterprise customers or large-scale business transformation initiatives.
Good to Have
Exposure to GenAI use cases (chatbots, document intelligence, workflow augmentation, etc.).
Experience running PoCs or MVPs.
Prior consulting or product company experience.
Experience in specific domains (optional): Retail, Logistic, Manufacturing, etc.