Job Responsibilities:
Design, develop, and deploy advanced AI/ML/LLM/GenAI solutions to achieve business objectives. Build and maintain scalable, reliable, and efficient automated data pipelines. Optimize generative models for domain-specific summarization and text generation tasks. Evaluate model performance, iterate on architectures, and implement improvements for AI/ML applications. Implement real-time monitoring for AI/ML solutions to ensure reliability. Communicate AI/ML/LLM/GenAI capabilities and outcomes to diverse audiences. Stay abreast of the latest AI/ML/LLM/GenAI research, adopt cutting-edge techniques, and leverage external APIs.
Required Qualifications:
- Master's degree in Computer Science, Data Science, Machine Learning, or a related field, with at least 2 years of experience.
- Proficiency in Python for model development, experimentation, and LLM API integration.
- Ability to identify and resolve AI/ML/LLM/GenAI challenges, optimize models, and enhance performance.
- Experience with cloud platforms (preferably AWS), containerization (Docker, Kubernetes), and microservices.
- Proficiency in building AI Agents (e.g., LangChain, LangGraph), tool integration, RAG solutions, and 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.
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages.
- Ability to analyze and synthesize large datasets, and to create visualizations and reports for system improvement.
- Strong collaboration skills for effective work with cross-functional teams and communication of complex concepts.