Data Scientist

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.