Advanced AI Professional

4 hours ago

Pune, Maharashtra, India beBeeResponsibilities Full time US$ 12,00,000 - US$ 18,00,000

Job Title: AI Engineer

We are seeking a highly motivated AI engineer with strong technical depth and a startup mindset.

This role is both hands-on and visionary: you'll design, build, and deploy AI solutions across NLP, Generative AI, and Intelligent Networking while also contributing to product roadmaps and client discussions.

Key Responsibilities:

  • 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.
  • Preprocess and clean structured/unstructured data for production.
  • Build robust pipelines (Airflow, Spark, or custom ETL).
  • Implement advanced feature extraction and dimensionality reduction.
  • 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.
  • 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).
  • 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 work collaboratively and communicate effectively.

What We Offer:

  • Impact: Work on cutting-edge projects with real-world applications.
  • Exposure: Collaborate with experienced professionals and stay up-to-date with industry trends.
  • Personal Growth: Opportunities for career advancement and professional development.
  • Team Culture: A dynamic, supportive team environment that encourages creativity and collaboration.

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