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About the role
Job Summary We are seeking an experienced AI/ML Data Engineer with strong expertise in AWS Data Services, Python, Generative AI, and Data Visualization . The ideal candidate will be responsible for building scalable data solutions, leveraging AI/ML technologies, and delivering actionable business insights. Key Responsibilities Design, develop, and maintain scalable data pipelines and data solutions on AWS. Work with AWS services such as Redshift, Athena, and S3 for data storage, processing, and analytics. Develop Python-based solutions for data processing, automation, and workflow optimization. Create and optimize prompts for Generative AI applications and LLM-based solutions. Collaborate with business and technical teams to implement AI/ML-driven use cases. Build dashboards and reports using visualization tools to support business decision-making. Ensure data quality, performance, security, and governance standards. Must-Have Skills 5+ years of experience in Data Engineering, Analytics, or AI/ML solutions. Strong hands-on experience with AWS services (Athena, Redshift, S3) . Proficiency in Python for data engineering and automation. Experience in Prompt Engineering and Generative AI applications. Good understanding of AI/ML concepts and model integration. Experience with data visualization tools such as Amazon QuickSight or Tableau . Strong analytical and problem-solving skills. Good-to-Have Skills Experience with Amazon Connect . Knowledge of AWS AI/ML services and cloud-native architectures. Exposure to ETL/ELT pipelines and data warehousing concepts. Experience working in Agile/Scrum environments. AWS Certifications are a plus.
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