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Data Scientist
4 weeks ago
At Align Labs, we build intelligent systems, AI-powered tools, and data platforms that help ventures scale faster, smarter, and more efficiently. From real-time analytics to generative AI agents, we operate at the frontier of applied AI—reimagining how products are designed, deployed, and adopted across industries.
We're looking for a Data Scientist who's excited to work at the intersection of data, machine learning, and product development. If you thrive on experimentation, love turning messy data into insights, and want to see your models power real products in the wild, we'd love to meet you.
What you'll do
- Build & Experiment: Develop machine learning models and data-driven features—recommendation systems, natural language processing (NLP), generative AI, and predictive analytics.
- 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.
- Collaborate Cross-Functionally: Partner with product managers, designers, and engineers to ensure data and AI capabilities directly support real-world use cases.
What we're Looking for
- 2–6 years of experience as a Data Scientist / ML Engineer (startup or product environment a plus).
- 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).
- Strong analytical and communication skills—able to turn data into insights and insights into product decisions.
- Experience with LLM evaluation frameworks or prompt engineering.
- Familiarity with data visualization (e.g., Plotly, D3.js, Tableau).
- Experience working in early-stage startups or venture building environments.
Why work with us?
- 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.
Send your LinkedIn profile, portfolio (GitHub, Kaggle, or projects), and a short note about the most exciting data problem you've solved to [build@alignlabs.xyz].
