Data Scientist

4 weeks ago

Rajahmundry, Andhra Pradesh, India Pixeldust Technologies Full time

Role Overview:

We are seeking an experienced Data Scientist with a strong background in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands-on expertise with modern AI frameworks, vector databases and cloud based ML platforms with a focus 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, 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 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 Qualification:

  • Proven experience as a Data Scientist having 6-9 years of experience with a strong focus 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, 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.

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.

What We Offer:

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

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