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Posted May 22, 2026

AI/ML Engineer with Snowflake

Job Description: Responsibilities: • Designing, implementing, and maintaining secure and stable AI/ML solutions using leading AI technology frameworks, including conversational AI solutions • Aligning AI/ML use cases with business strategies and key performance indicators and other metrics • Working closely and lead software engineers to build new applications to run on AI/ML platforms • Perform data analysis, feature engineering, and NLP training to optimize model performance • Monitoring current and future trends and advancements in AI, machine learning, and other emerging technologies • Provide vision for relevant technology systems, including those that support enterprise risk management and independent compliance applications, ensuring that engineers use blueprints, architecture, patterns, and design. • Explore and prototype Client techniques in generative AI/ML including fine-tuning, reinforcement learning with various of reward strategies, transfer learning, and multimodal alignment. • Build and maintain chatbot solutions using bot builder platforms • Interfaces with vendors to assess their technology and to guide their product roadmap based on Client requirements. • Requires sophisticated analytical thought to resolve issues in a variety of complex situations. • Develop and maintain applications using Node.js and JavaScript, along with relevant frameworks. • Contribute to the development of Generative AI use cases and proof-of-concept projects. • Uses developed communication skills to negotiate and often at higher levels. • Perform batch testing and quality assurance of chatbot performance and other NLP applications. • Implement API and system integrations. • Manage databases for storing and retrieving user data using MongoDB, SQL, or other NoSQL databases. • Conduct A/B testing for conversation flows. Qualifications: • X-X years of hands-on experience in AI/ML and Snowflake. • Proficiency in Python and relevant ML • Experience in Snowflake Integration • Familiarity with bot builder platforms (e.g., Dialogflow, Rasa, Microsoft Bot Framework, Kore.ai). • Experience working with large language models (LLMs) such as GPT-X, BERT, LaMDA, PaLM, Vertex AI, LLaMA, Azure OpenAI Service.