Data Developer

2 weeks ago

Ghaziabad, Uttar Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About This Role

We are seeking a talented individual to join our team as a Data Scientist who is passionate about working at the intersection of data, machine learning, and product development.

  • Main Responsibilities:
  • Data Engineering & Analysis: Collect, clean, and analyze structured + unstructured data to uncover valuable insights that support informed product decisions.
  • Prototype to Production: Rapidly test ideas in notebooks, then work with engineers to productionize models using MLOps best 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.

Requirements:

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

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