AI/ ML Data Engineer with Snowflake Experience.

Location: Frisco, TX (Onsite)

Mode: Contract

Key Responsibilities

• AI/ML Model Development:
• Design, train, and deploy machine learning models for predictive analytics, anomaly detection, recommendation systems, or other business use cases.
• Evaluate and optimize model performance using industry best practices.
• Integrate ML models into production pipelines with scalability and reliability in mind.
• Extensive working experience in Iterative RAG or Graph RAG or Hybrid RAG is a MUST.
• Strong experience in Data Extraction for Unstructured data, embedding models and Vector Database
• Snowflake Data Engineering:
• Design, implement, and optimize Snowflake data warehouses, data marts, and ETL/ELT pipelines.
• Write and optimize complex SQL queries for data preparation, transformation, and aggregation.
• Ensure data quality, governance, and security compliance within Snowflake.
• Business Intelligence & Reporting (Power BI):
• Build interactive and insightful Power BI dashboards that communicate trends, forecasts, and performance metrics.
• Integrate ML-driven insights into Power BI for business-friendly visualizations.
• Collaborate with stakeholders to gather requirements and translate them into impactful BI solutions.
• Collaboration & Strategy:
• Work with data scientists, analysts, and business leaders to identify AI/ML opportunities.
• Support data strategy initiatives, ensuring alignment with business goals.
• Document workflows, models, and data processes for transparency and maintainability.

Required Skills & Qualifications

• Technical Skills:
• Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Expert-level SQL skills and hands-on experience with Snowflake data architecture.
• Proven experience designing complex Power BI dashboards and data models.
• Experience with data pipeline tools (dbt, Airflow, or equivalent).
• Familiarity with MLOps concepts, CI/CD pipelines, and API integrations.
• Data & ML Knowledge:
• Solid understanding of machine learning algorithms, feature engineering, and model evaluation metrics.
• Experience working with large-scale datasets in a cloud environment (AWS, Azure, or Google Cloud Platform).
• Knowledge of data governance, security, and compliance best practices.
• Soft Skills:
• Strong problem-solving skills and analytical thinking.
• Excellent communication skills for technical and non-technical audiences.
• Ability to work independently and collaboratively in cross-functional teams.

Preferred Qualifications

• Certifications in Snowflake, Power BI, or cloud platforms.
• Experience deploying ML models into Snowflake (Snowpark, UDFs, etc.).
• Knowledge of DAX for advanced Power BI calculations.
• Familiarity with generative AI, NLP, or deep learning applications.

Education

• Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).