Straive - Lead Data Scientist

Job Title : Data Scientist

Job Type : Permanent

Years of Experience : 8+ Years

About Straive :

- Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

- Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision.

- The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics.

- Straive continues to be the leading content services provider to research and education publishers.

- Data Analytics & Al Services : Our Data Solutions business has become critical to our client's success.

- We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows.

- As our clients expect us to become their future fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

- With a client-base scoping 30 countries worldwide, Straives multi-geographical resource pool is strategically located in eight countries India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Senior Data Analyst Generative AI & Automation

Experience : 7+ Years AI/ML Space (2+ Years specifically in Generative AI/LLMs)

About the Role :

- We are looking for a high-impact Senior Data Analyst with a strong engineering foundation to join our AI team.

- You will go beyond standard analytics, building and optimizing production-grade Generative AI solutions.

- You will be responsible for creating RAG systems, integrating multimodal models, and implementing agentic workflows that turn unstructured data into business insights and automated actions.

Responsibilities :

- Production RAG Development : Build and optimize end-to-end RAG systems, implementing Hybrid Search (dense vector embeddings + BM25) and advanced reranking strategies to maximize retrieval precision.

- Multimodal AI Workflows : Integrate Vision-Language Models (e.g., GPT-4o, Claude 3.5, Idefics) to analyze visual data, documents, and images for automated insights extraction.

- Advanced Prompt Engineering : Develop, test, and maintain complex prompt strategies (Chain-of-Thought, ReAct) using OpenAI/Anthropic APIs and the Hugging Face ecosystem.

- Vector Database Management : Design indexing strategies and manage high-dimensional data at scale within vector stores such as Pinecone, Weaviate, Milvus, or Pgvector.

- High-Performance Python Engineering : Write scalable, asynchronous Python code (FastAPI/asyncio) to handle high-throughput AI API calls and API-based data processing.

- Agentic Orchestration & Deployment : Use LangChain or LlamaIndex to orchestrate LLM workflows and deploy containerized applications using Docker and Kubernetes on cloud platforms (AWS/Azure/GCP).

- Data Intelligence : Perform advanced NLP preprocessing (semantic chunking, metadata filtering) to improve context quality for LLMs.

Technical Requirements :

- Experience : 7+ years in AI/ML, with 2+ years of hands-on experience building/deploying Generative AI applications.

- Languages : Expert-level Python programming (asynchronous, OOPs, high-performance).

- GenAI/LLM Ecosystem : Deep proficiency with OpenAI, Anthropic, LangChain, LlamaIndex, and Hugging Face.

- Text Analytics experience is mandatory.

- RAG & Search : Hands-on experience with vector databases (Pinecone, etc.) and Hybrid Search implementation.

- Multimodal : Experience with VLMs for document intelligence or image understanding.

- Cloud & DevOps : Containerization (Docker) and Cloud AI services (AWS/Azure/GCP).