AI Engineer

Job Summary We are seeking a highly skilled AI Engineer with strong Snowflake expertise to support a State Government Transportation client. The ideal candidate will design, develop, and deploy AI/ML solutions leveraging Snowflake’s data platform to improve transportation systems, analytics, and decision-making processes. Key Responsibilities • Design and develop AI/ML models for transportation use cases such as traffic prediction, route optimization, and demand forecasting • Work extensively with Snowflake for data storage, transformation, and analytics • Build and optimize data pipelines using Snowflake, Python, and cloud-native tools • Implement Snowflake Snowpark for advanced data processing and ML workloads • Collaborate with data engineers, business analysts, and transportation stakeholders • Deploy ML models into production using MLOps best practices • Perform data analysis on large-scale transportation datasets (traffic, GPS, IoT, etc.) • Ensure compliance with government data security and governance standards • Monitor model performance and continuously improve accuracy Required Skills • Strong experience in AI/ML development (Regression, Classification, NLP, Time Series) • Hands-on experience with Snowflake (Snowpark, Streams, Tasks, Data Sharing) • Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) • Experience with SQL and data modeling • Knowledge of data warehousing concepts and ETL pipelines • Familiarity with cloud platforms (AWS / Azure / GCP) • Experience with MLOps tools (CI/CD, MLflow, Docker, Kubernetes) • Strong problem-solving and analytical skills Preferred Qualifications • Experience working with State Government or Public Sector projects • Domain knowledge in Transportation / Traffic Systems / Smart Mobility • Experience with real-time data processing (Kafka, streaming pipelines) • Familiarity with GIS data and geospatial analytics • Knowledge of data governance and compliance frameworks