Senior Data Scientist

About Quadratyx

Designation

• Senior Data Scientist
  

Function

• AI & Data Science Enterprise Delivery
  

• Hyderabad / Chennai/ Mumbai / NCR
  

• Generative AI & LLM Systems: Design, develop, and deploy end-to-end Generative AI applications, with a strong focus on LLMs.
• Agentic AI & Orchestration: Lead the development of complex, multi-agent AI systems and sophisticated workflows using frameworks like LangChain and LangGraph.
• Retrieval Augmented Generation (RAG): Architect and implement robust RAG pipelines for enhanced LLM applications, including vector database integration and content retrieval optimization.
• Prompt Engineering Expertise: Develop and implement advanced prompt engineering strategies to optimize LLM performance, reliability, and precision for various tasks.
• LLM Fine-tuning & Customization: Perform large-scale fine-tuning and adaptation of open-source and proprietary LLMs for domain-specific applications and improved performance.
• Machine Learning Model Development: Design, train, test, and validate ML models for a wide range of tasks, including but not limited to Computer Vision (e.g., object detection, image classification, segmentation) and Natural Language Processing (e.g., text classification, sentiment analysis, entity recognition).
• MLOps & Deployment: Build and maintain scalable and reliable production pipelines for ML models and LLM applications, ensuring seamless integration and deployment.
• API Development: Develop robust RESTful APIs using Flask or FastAPI to serve machine learning models and LLM solutions.
• Prototyping & User Interfaces: Create interactive web applications and dashboards using Streamlit for rapid prototyping, demonstration, and user interaction with AI models.
• Containerization: Utilize Docker for containerization of ML models and applications to ensure reproducible and scalable deployments.
• Research & Innovation: Stay abreast of the latest advancements in AI/ML, especially in Generative AI, LLMs, and Agentic AI, and evaluate their applicability to business problems.
• Collaboration: Work closely with data scientists, product managers, software engineers, and business stakeholders to translate requirements into technical solutions and deliver measurable impact.
  

• Project Manager / Team Lead
  

Skills/ Competencies Required

• Programming: Python
• Generative AI & LLMs: Generative AI, LLMs
• AI Orchestration: LangChain, LangGraph, Agentic AI
• LLM Techniques: RAG (Retrieval Augmented Generation), Prompt Engineering, LLM Finetuning
• ML Domains: Natural Language Processing (NLP), Computer Vision
• ML Lifecycle: End-to-end ML Model Lifecycle management
• API Development: Flask, FastAPI
• Containerization: Docker
• Rapid Prototyping: Streamlit
  

Academic Qualifications & Experience Required

• Bachelor’s or master’s in business administration/ computer science or related discipline from a well-known institute.
• 4 to 6 years of experience as a Data Scientist in an IT organization, preferably with a focus on analytics-driven projects.
  

Preferred Skills (Nice-to-Haves)

• Experience with cloud platforms (AWS, Azure, GCP) and their respective AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Familiarity with MLOps tools and practices beyond Docker (e.g., Kubernetes, MLflow, CI/CD pipelines).
• Contributions to open-source projects or relevant publications in AI/ML conferences.
• Knowledge of vector databases (e.g., Pinecone, Weaviate, Milvus).
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.