Role Overview
We are looking for an AI / ML Engineer who enjoys working in ambiguous, fast-moving environments and is excited to build, experiment, and problem-solve directly with founders.
This is not a conventional tech team role. You will help identify opportunities where AI/ML can meaningfully improve product outcomes, internal efficiency, and learner experienceand then help build or prototype solutions.
Key Responsibilities
- AI / ML Initiatives :
- Identify and explore AI/ML use cases across learning, content, operations, and analytics.
- Build proof-of-concepts, prototypes, or lightweight production solutions.
- Work with structured and unstructured data (text, usage data, assessments, etc.).
- Apply ML techniques such as recommendation systems, NLP, predictive models, or evaluation frameworks (as relevant).
- Founders Office :
- Work directly with founders to translate business problems into AI-led solutions.
- Support experimentation and quick iterations rather than long, rigid roadmaps.
- Help evaluate third-party AI tools, APIs, and platforms for build vs buy decisions.
- Collaboration :
- Collaborate with product, content, and tech teams as needed (without direct reporting into Tech).
- Document learnings, trade-offs, and scalability considerations.
What Were Looking For
- Must-haves :
- Hands-on experience in AI / ML or Data Science.
- Strong fundamentals in Python, ML algorithms, and data handling.
- Experience working with ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch, etc.).
- Comfort working in low-structure, high-ownership environments.
- Ability to think beyond codeunderstanding why something should be built.
- Good to have :
- Experience with NLP, recommendation systems, or educational data.
- Exposure to LLMs, prompt engineering, or AI APIs.
- Startup or early-stage experience.
- Ability to communicate ideas clearly to non-technical stakeholders.
Why This Role Matters
- High visibility and direct founder interaction.
- Opportunity to shape AI thinking at an org-wide level.
- Space to experiment, learn fast, and build with real-world impact.
- Ideal for someone who wants to grow into AI Product / Strategy leadership over time.
(ref:hirist.tech)
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