Data Scientist

Data Scientist -

Key Responsibilities

• Build and optimize classification, regression , and forecasting models using classical ML and deep learning techniques.
• Develop and deploy deep learning architectures including LSTMs , transformers , and other sequence-based models for time-series, NLP, and anomaly detection.
• Design and implement NLP pipelines for text classification, semantic search, summarization, and question answering using transformer-based models (e.g., BERT, T5, GPT).
• Create RAG (retrieval-augmented generation) pipelines integrating LLMs with vector databases (e.g., FAISS, Pinecone, Weaviate) and document indexing frameworks.
• Apply and fine-tune LLMs (e.g., OpenAI, Mistral, LLaMA, Cohere) for domain-specific tasks using supervised fine-tuning or LoRA / QLoRA methods.
• Build and orchestrate multi-agent AI systems using frameworks like LangGraph , CrewAI, or OpenAgents to support tool-using, autonomous agents for decision-making workflows.
• Collaborate with data engineers, product managers, and stakeholders to translate business needs into production-ready solutions.
• Mentor and support junior data scientists through code reviews, model design feedback, and collaborative experimentation.
• Promote best practices in reproducible modeling, responsible AI, and scalable deployment.

Required Skills & Experience