AI Innovator

2 days ago

Kolkata, West Bengal, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Artificial Intelligence Engineer

We're at the forefront of applied AI, creating intelligent systems and AI-powered tools that help ventures scale faster and more efficiently. From real-time analytics to generative AI agents, we reimagine how products are designed, deployed, and adopted across industries.

You'll work with us 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 be thrilled to have you on board.

Key Responsibilities:

  • Data Science & Engineering: 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.
  • Cross-Functional Collaboration: Partner with product managers, designers, and engineers to ensure data and AI capabilities directly support real-world use cases.

What We're Looking For

  • Experience: 2–6 years as a Data Scientist / ML Engineer; startup or product environment a plus.
  • Programming Skills: Strong skills in Python; comfort with libraries like Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, or Hugging Face.
  • Data Pipelines & Storage: Experience with data pipelines and storage (SQL, NoSQL, or vector databases).
  • Generative AI Techniques: Understanding of retrieval-augmented generation (RAG) and generative AI techniques is a plus.
  • MLOps & Model Deployment: Familiarity with MLOps, model deployment, and monitoring (Docker, Kubernetes, cloud platforms).
  • Analytical & Communication Skills: Strong analytical and communication skills—able to turn data into insights and insights into product decisions.
  • LLM Evaluation Frameworks: Experience with LLM evaluation frameworks or prompt engineering.
  • Data Visualization: Familiarity with data visualization (e.g., Plotly, D3.js, Tableau).
  • Early-Stage Startups: Experience working in early-stage startups or venture building environments.

Why Work With Us?

  • Real-World Impact: Build real-world AI products used across multiple ventures, not just prototypes.
  • Fast-Moving Environment: Work in a fast-moving, collaborative, high-trust environment.
  • Direct Collaboration: Collaborate directly with founders, engineers, and creators.
  • Future of Applied AI: Help shape the future of applied AI in India and beyond.

How To Apply

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