
AI Researcher
7 hours ago
We're building intelligent systems, AI-powered tools, and data platforms that help ventures scale faster, smarter, and more efficiently.
Our goal is to push the boundaries of applied AI by reimagining how products are designed, deployed, and adopted across industries.
You'll be working on machine learning models and data-driven features, including recommendation systems, natural language processing, generative AI, and predictive analytics.
- Develop and experiment with machine learning models and data-driven features.
- Collect, clean, and analyze structured + unstructured data to uncover insights and support product decisions.
- Rapidly test ideas in notebooks, then work with engineers to productionize models using MLOps practices.
- Design experiments (A/B tests, evaluation pipelines), define success metrics, and continuously improve model performance.
- Partner with product managers, designers, and engineers to ensure data and AI capabilities directly support real-world use cases.
- 2–6 years of experience as a Data Scientist / ML Engineer.
- Strong programming skills in Python; comfort with libraries like Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, or Hugging Face.
- Experience with data pipelines and storage (SQL, NoSQL, or vector databases).
- Understanding of retrieval-augmented generation (RAG) and generative AI techniques.
- Familiarity with MLOps, model deployment, and monitoring.
- Strong analytical and communication skills—able to turn data into insights and insights into product decisions.
- Experience working in early-stage startups or venture building environments.
- Build real-world AI products used across multiple ventures, not just prototypes.
- Work in a fast-moving, collaborative, high-trust environment.
- Collaborate directly with founders, engineers, and creators.
- Help shape the future of applied AI in India and beyond.
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