Senior AI Specialist

1 day ago

Ahmedabad, Gujarat, India beBeeArtificial Full time ₹ 18,00,000 - ₹ 30,00,000
Role Description

We're seeking a highly skilled AI Professional with strong technical expertise and a startup mindset. This role involves designing, building, and deploying AI solutions across NLP, Generative AI, and Intelligent Networking while contributing to product roadmaps and client discussions.

The ideal candidate will have hands-on experience in AI/ML model development and deployment, proficiency in Python and modern frameworks (PyTorch, TensorFlow, JAX), and knowledge of cloud platforms (AWS/GCP/Azure).

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.
Required Skills and Qualifications
  • 3–5 years of hands-on AI/ML experience.
  • Proficiency in Python and modern frameworks (PyTorch, TensorFlow, JAX).
  • 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 'own' outcomes.
  • Excellent communication and adaptability in startup environments.
Benefits and Career Growth
  • 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.

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