V
Artificial Intelligence Engineer
Vaspire Technologies Inc.
1 hour ago
Full-time
On-site
Title: AI Architect
Location: Plainsboro, NJ (Hybrid)
Snowflake Cortex Experience Mandatory
12+ Years - Total Experience
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
JD: Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields, with strong proficiency in SQL and Python. (preferably SQL) Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment of machine learning solutions to solve business problems. Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP. Ability to work with structured and unstructured data, build scalable AI/ML solutions, and collaborate with cross-functional teams to translate business requirements into data-driven outcomes. Strong problem-solving, analytical, and communication skills, with a demonstrated willingness and enthusiasm to learn new technologies, tools, and emerging AI/ML trends in a fast-evolving landscape. Preferred Qualifications Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services will be an added advantage. Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management. Knowledge of data warehousing, data engineering concepts, and API integrations. xsgimln Exposure to GenAI application development, vector databases, semantic search, and AI orchestration frameworks. With Lifesciences experience preferred
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
JD: Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields, with strong proficiency in SQL and Python. (preferably SQL) Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment of machine learning solutions to solve business problems. Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP. Ability to work with structured and unstructured data, build scalable AI/ML solutions, and collaborate with cross-functional teams to translate business requirements into data-driven outcomes. Strong problem-solving, analytical, and communication skills, with a demonstrated willingness and enthusiasm to learn new technologies, tools, and emerging AI/ML trends in a fast-evolving landscape. Preferred Qualifications Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services will be an added advantage. Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management. Knowledge of data warehousing, data engineering concepts, and API integrations. xsgimln Exposure to GenAI application development, vector databases, semantic search, and AI orchestration frameworks. With Lifesciences experience preferred