Job Description

Job Summary:

We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.

Key Responsibilities

Generative AI Expertise

Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.
Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)
Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.
Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus

Cloud Platform Expertise

Implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.
Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).

Data Science and Engineering

Perform advanced analytics using Python, SQL, and machine learning frameworks like TensorFlow or PyTorch.
Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.