AI/ML Engineer & GenAI LLM Applications

As a highly skilled Data Scientist with expertise in AI/ML, Generative AI, and LLM-based solutions, your main responsibilities will include: - Designing, developing, and deploying AI/ML solutions using Python. - Building and integrating Generative AI applications utilizing OpenAI APIs and LLM-based workflows. - Implementing Retrieval-Augmented Generation (RAG) solutions for intelligent information retrieval. - Developing interactive AI applications and prototypes using Streamlit. - Utilizing Snowflake for data processing, analytics, and feature engineering. - Designing and maintaining scalable, production-grade ML pipelines. - Collaborating with product, data engineering, and business teams to deliver AI solutions. - Optimizing model performance, cost efficiency, and system reliability. - Supporting deployment, monitoring, and continuous improvement of AI/ML applications. - Contributing to AI architecture design and best practices within the organization. Qualifications required for this role include: - 5+ years of experience in Python development. - Strong hands-on experience with OpenAI APIs and prompt engineering. - Working knowledge of Snowflake (basic to intermediate level). - Experience in building applications using Streamlit. - Solid understanding of Machine Learning concepts and data pipelines. - Strong knowledge of RAG (Retrieval-Augmented Generation) and Generative AI concepts. - Experience with CI/CD pipelines and application deployment. - Exposure to working in Agile development environments. - Bachelors or Masters degree in Computer Science, Data Science, Engineering. As a highly skilled Data Scientist with expertise in AI/ML, Generative AI, and LLM-based solutions, your main responsibilities will include: - Designing, developing, and deploying AI/ML solutions using Python. - Building and integrating Generative AI applications utilizing OpenAI APIs and LLM-based workflows. - Implementing Retrieval-Augmented Generation (RAG) solutions for intelligent information retrieval. - Developing interactive AI applications and prototypes using Streamlit. - Utilizing Snowflake for data processing, analytics, and feature engineering. - Designing and maintaining scalable, production-grade ML pipelines. - Collaborating with product, data engineering, and business teams to deliver AI solutions. - Optimizing model performance, cost efficiency, and system reliability. - Supporting deployment, monitoring, and continuous improvement of AI/ML applications. - Contributing to AI architecture design and best practices within the organization. Qualifications required for this role include: - 5+ years of experience in Python development. - Strong hands-on experience with OpenAI APIs and prompt engineering. - Working knowledge of Snowflake (basic to intermediate level). - Experience in building applications using Streamlit. - Solid understanding of Machine Learning concepts and data pipelines. - Strong knowledge of RAG (Retrieval-Augmented Generation) and Generative AI concepts. - Experience with CI/CD pipelines and application deployment. - Exposure to working in Agile development environments. - Bachelors or Masters degree in Computer Science, Data Science, Engineering.