Senior AI Research Scientist

4 days ago

Mount Abu, Rajasthan, India beBeeArtificial Full time ₹ 10,00,000 - ₹ 20,00,000

Job Title:

Cutting-Edge AI Professional

We are seeking a highly skilled individual to join our team as a Cutting-Edge AI Professional. This is a foundational role that will play a critical part in shaping the future of artificial intelligence.

  • Key Responsibilities:
    • AI Model Development & Deployment:
      • Design, train, and fine-tune models (NLP, LLMs, multimodal, RL).
      • Optimize deep neural networks and transformer architectures (e.g., GPT, Gemini, LLaMA etc.).
      • Deploy and scale models via Docker/Kubernetes, REST/gRPC APIs.
    • Data Engineering & Feature Work:
      • Preprocess and clean structured/unstructured data for production.
      • Build robust pipelines (Airflow, Spark, or custom ETL).
      • Implement advanced feature extraction and dimensionality reduction.
    • Research & Innovation:
      • Stay on top of AI trends (GenAI, RAG, multimodal learning, prompt engineering).
      • Experiment and bring forward practical innovations to products.
      • Document learnings via internal knowledge bases, blogs, or POCs.
    • Collaboration & Growth:
      • Work closely with product owners, researchers, engineers, and client-facing teams.
      • Take ownership of technical discussions with clients when needed.
      • Mentor junior engineers as the team scales.

What You'll Bring/Gain:

  • Impact: Build products with real-world adoption across industries.
  • Growth: Direct visibility with founders and leadership, opportunities to shape the AI roadmap.
  • Exposure: Cutting-edge frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, VertexAI and similar).
  • Ownership: Take responsibility for projects end-to-end, with career progression into lead/architect roles.
  • Culture: A collaborative, character-first team where initiative and curiosity are celebrated.

Requirements:

  • 3–5 years of hands-on AI/ML experience (model development + deployment).
  • Proficiency in Python and modern frameworks (PyTorch, TensorFlow, JAX, VertexAI).
  • Experience with NLP, Generative AI, Reinforcement Learning.
  • Familiarity with model serving, cloud platforms (Any one cloud from AWS/GCP/Azure is fine).
  • Knowledge of vector databases, embeddings, RAG pipelines.
  • Strong problem-solving mindset, willingness to learn and adapt.

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