Join our dynamic team to drive innovation across Consumer Tech, Enterprise Tech, and Semiconductors. This role focuses on leading cutting-edge projects in Generative AI, decision science, and cloud analytics, blending technical expertise with client delivery management. You will be instrumental in developing impactful solutions that leverage the power of AI and data science.

Develop and fine-tune models for NLP, Computer Vision, and multimodal applications using GenAI frameworks. Construct autonomous workflows through prompt engineering, API integration, and orchestration tools like LangChain, LlamaIndex, and AutoGen. Enhance AI agent performance by monitoring, debugging, and refining context handling, error recovery, and response quality. Implement retrieval pipelines utilizing vector databases such as Pinecone, FAISS, Weaviate, or Milvus. Deploy scalable data science workflows on Azure or AWS for diverse analytics projects, employing cloud-native tools for model training, deployment, and monitoring.

Proficiency in advanced analytics using Python and SQL, alongside machine learning frameworks like TensorFlow or PyTorch. Experience in developing predictive models, recommendation systems, and optimization solutions. Ability to manage large-scale datasets, preprocess data, and perform feature engineering across various data modalities. A foundational understanding of Generative AI, including model fine-tuning and building AI agents, is essential. Experience with cloud platforms like Azure or AWS, and their respective machine learning services, is highly valued.