
Senior AI Developer
1 week ago
We are at the forefront of applied artificial intelligence, building intelligent systems and data platforms that help businesses grow faster and smarter.
As a Data Scientist, you will work at the intersection of data, machine learning, and product development. You will experiment with new ideas, transform messy data into insights, and see your models power real products in the wild.
Key Responsibilities:
- Data Engineering & Analysis: Collect, clean, and analyze structured + unstructured data to uncover insights and support product 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.
- Cross-Functional Collaboration: Partner with product managers, designers, and engineers to ensure data and AI capabilities directly support real-world use cases.
You Will Be Successful If:
- 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 such as Pinecone, Weaviate, or FAISS).
- Understanding of retrieval-augmented generation (RAG) and generative AI techniques is a plus.
- Familiarity with MLOps, model deployment, and monitoring (Docker, Kubernetes, cloud platforms).
Why Join Us?
- Build real-world AI products used across multiple ventures, not just prototypes.
- Work in a fast-moving, collaborative, high-trust environment.
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