Job Responsibilities:

Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
Develop and maintain automated pipelines for data, ensuring scalability, reliability, and efficiency.
Implement optimization strategies to fine-tune generative models for domain specific use cases, ensuring high-quality outputs in summarization and text generation.
Conduct thorough evaluations of generative models iterate on model architectures and implement improvements to enhance overall performance in AI/ML applications.
Implement monitoring mechanisms to track AI/ML solutions performance in real-time and ensure model reliability.
Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.

Required Qualifications:

Master's with at least 2+ years experience in Computer Science, Data Science, Machine Learning, or a related field.
Proficiency in Python for model development, experimentation, and integration with the LLM APIs.
Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations, and fine-tune models for optimal performance in AI/ML applications.
Experience with cloud platforms (preferably AWS), containerization technologies (Docker and Kubernetes), and microservices design, implementation, and performance optimization.
Proficient in building AI Agents (e.g., LangChain, LangGraph), integration of tools, and RAG-based solutions, Knowledge Graphs (e.g., neo4J).
Experience developing end-to-end data workflows and ETL pipelines using Python and Databricks.
Strong understanding of data modeling, normalization, and database design principles.
Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
Ability to gather, analyze, and synthesize large, diverse data sets and to develop visualizations and reports in support of continuous improvement of applications and systems.
Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.

WCR- Quantitative Research - Associate