AI Strategist

2 days ago

Anantapur, Andhra Pradesh, India beBeeInnovation Full time US$ 10,00,000 - US$ 15,00,000
AI Innovation Role

We're a dynamic organization building scalable AI solutions for various industries. As part of our agile group, you'll work in a hands-on environment where expertise and initiative matter just as much as technical knowledge.

Our ideal candidate has 3–5 years of hands-on AI/ML experience with strong technical depth and an entrepreneurial mindset. This role is both practical and visionary: you'll design, build, and deploy AI solutions across NLP, Generative AI, and Intelligent Systems while also contributing to product roadmaps and discussions.

Key Responsibilities:
  • AI Model Development & Deployment:
    • Design, train, and fine-tune models (NLP, LLMs, multimodal, RL).
    • Optimize deep neural networks and transformer architectures.
    • 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 Gain:
  • Impact: Build products with real-world adoption.
  • Growth: Direct visibility with leadership, opportunities to shape the AI roadmap.
  • Exposure: Cutting-edge frameworks (PyTorch, TensorFlow, Hugging Face, LangChain).
  • Ownership: Take responsibility for projects end-to-end, with career progression into lead/architect roles.
  • Culture: A collaborative 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).
  • Experience with NLP, Generative AI, Reinforcement Learning.
  • Familiarity with model serving, cloud platforms.
  • Knowledge of vector databases, embeddings, RAG pipelines.
  • Strong problem-solving mindset, willingness to learn.

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