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Engineer, AI & Data
Role: Engineer, AI & Data
Location: Atlanta, Bellevue, WA or Dallas TX (On Site) Contract Role Role and responsibilities: • 5+ years of experience in AI/ML and Data Scientist roles. • Extensive experience with Azure cloud platforms and Databricks. • Extensive experience in Python, PySaprk • Extensive experience in building Generative AI applications using LLMs like Open AI, Gemini, etc • Extensive experience in Prompt Engineering • Experience with ML Frameworks Design, develop, and optimize robust data pipelines for structured, semi-structured, and unstructured data. • Build and maintain data warehouses, data lakes, and real-time streaming systems. • Implement data quality, lineage, and governance best practices. • Develop, train, and deploy machine learning models for predictive analytics, recommendation systems, classification, NLP, and other business problems. • Collaborate with data scientists to translate prototypes into production-ready systems. • Integrate AI services (LLMs, computer vision, speech, or custom ML models) into applications. • Explore datasets, identify trends, and generate insights for stakeholders. • Work closely with business teams to understand requirements and design data-driven solutions. • Design for high availability, scalability, and security in AI and data platforms. • Use modern MLOps/DataOps practices for CI/CD, monitoring, and lifecycle management. • Work cross-functionally with software engineers, DevOps, product managers, and analysts. • Document data flows, model architectures, and operational guidelines. • Strong understanding of statistical modeling, NLP, and deep learning. • Excellent problem-solving and communication skills. • Good Experience in MLOps and model lifecycle management. • Version control (Git) and CI/CD pipelines. | ||||||
