Senior Artificial Intelligence Researcher

1 week ago

Anantapur, Andhra Pradesh, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Unlock the Power of AI

We are seeking an experienced Data Scientist 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.

  • 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 model 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.

Required Skills and Qualifications:

  • Proven experience as a Data Scientist 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, or 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.

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.

Good to Have 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.

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