AI Innovation Lead

2 days ago

Tirupati, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Transforming Insights into Action

We are seeking an innovative Data Expert with a strong background in Natural Language Processing, Machine Learning, and Large Language Models. The ideal candidate will have hands-on expertise with modern AI frameworks, vector databases, and cloud-based ML platforms focusing on building and deploying scalable high-performing solutions.

Key Responsibilities:

  • Design, develop, and deploy NLP and ML models for real-world applications.
  • Work extensively with LLM frameworks, Hugging Face Transformers, LangChain Lama Index, OpenAI API, and Vertex AI.
  • Fine-tune large language models embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus, or Vertex AI Matching Engine.
  • Perform data preprocessing, statistical analysis, and experiment design to validate models.
  • Collaborate with cross-functional teams, engineering, product, and business to deliver AI-driven solutions.
  • Leverage cloud ML platforms (GCP preferred) to build and scale production-grade ML pipelines.
  • Continuously research and adopt state-of-the-art techniques in NLP, ML, and LLMs.

Essential Skills and Qualifications:

  • Proven experience as a Data Expert with 6-9 years of experience, focusing on NLP and ML.
  • Hands-on experience with LLM frameworks and libraries: Hugging Face Transformers, LangChain, LamaIndex, OpenAI API, and Vertex AI.
  • Strong programming skills in Python with ML/AI libraries: PyTorch, TensorFlow, and Scikit learn.
  • Experience in fine-tuning LLMs embeddings and vector databases: FAISS, Pinecone, Weaviate, Milvus, and Vertex AI Matching Engine.
  • Proficiency in data analysis, statistics, and experiment design.
  • Strong understanding of cloud ML platforms (GCP preferred).
  • Excellent problem-solving, analytical, and communication skills.
  • Strong debugging, troubleshooting, and problem-solving skills.
  • Excellent collaboration abilities.

Desirable Skills:

  • Exposure to MLOps practices: CI/CD for ML monitoring deployment.
  • Experience with other cloud platforms: AWS and Azure.
  • Knowledge of reinforcement learning and generative AI applications.

What We Offer:

  • A competitive salary and benefits package.
  • The opportunity to work on cutting-edge security challenges.
  • A collaborative and growth-oriented work environment with opportunities for career development.

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