AI/ML Engineer - Python/NLP (Bengaluru)

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. Chance 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) 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. Chance 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)