Sr. AI/ML Data Engineer (Need Local)

Job Title: Sr. AI/ML Data Engineer Location: Washington, DC(20433) – 4 days onsite from Day one Duration: 12 Months Job Description: We are seeking a highly skilled Python AI/ML Data Engineer with a strong data engineering background and recent experience in AI/ML model development and deployment. This role focuses on preparing, transforming, and optimizing large, complex datasets for model development, training, and deployment. The ideal candidate has strong expertise in data engineering with a deep focus on supporting AI/ML workflows, including feature engineering, data validation, and production-ready ML data pipelines. Key Responsibilities: • Design and maintain data pipelines tailored for AI/ML model training and inference. • Build, train, and deploy AI/ML models using Azure Machine Learning and related services. • Integrate data from diverse sources (structured/unstructured) for analytics and ML workflows. • Optimize data storage and compute performance across cloud/big data platforms. • Collaborate with data scientists, architects, and product teams to operationalize ML solutions. • Support ML model lifecycle by enabling seamless integration of data into MLOps pipelines. Required Skills: • Strong in Python, SQL, and ML-focused data processing. • Solid background in data engineering (ETL, data pipelines, SQL/NoSQL). • Hands-on experience with Azure services: Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Synapse. • Knowledge of CI/CD for data/ML workflows in Azure. “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”