
Chief Data Innovator
1 week ago
At the forefront of applied AI, we reimagine product design, deployment, and adoption across industries.
We're seeking a highly skilled professional who thrives on experimentation, turning complex data into actionable insights. If you excel in machine learning model development and data-driven feature creation—recommendation systems, natural language processing (NLP), generative AI, predictive analytics—we'd love to collaborate with you.
Key Responsibilities
- Develop & Experiment: Create and refine machine learning models, leveraging libraries like Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, or Hugging Face.
- Data Engineering & Analysis: Collect, clean, and analyze structured + unstructured data to drive business decisions.
- Prototype to Production: Rapidly test ideas in notebooks, then work with engineers to productionize models using MLOps practices.
- Measure & Iterate: Design experiments (A/B tests, evaluation pipelines), define success metrics, and continuously improve model performance.
- Collaborate Cross-Functionally: Partner with product managers, designers, and engineers to ensure data and AI capabilities support real-world use cases.
Requirements
- 2–6 years of experience as a Data Scientist / ML Engineer (product environment preferred).
- Strong programming skills in Python; proficiency with data pipelines and storage (SQL, NoSQL, vector databases).
- Familiarity with MLOps, model deployment, and monitoring (Docker, Kubernetes, cloud platforms).
- Understanding of retrieval-augmented generation (RAG) and generative AI techniques is a plus.
- Familiarity with LLM evaluation frameworks or prompt engineering.
- Experience working in early-stage startups or venture building environments.
Benefits
- Build real-world AI products used across multiple ventures.
- Work in a fast-moving, collaborative, high-trust environment.
- Collaborate directly with founders, engineers, and creators.
About Us
We help ventures scale faster, smarter, and more efficiently by developing intelligent systems, AI-powered tools, and data platforms.
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