Job Summary

We are seeking an experienced AI/ML Data Engineer with robust 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.

📌 Data Scientist- Gurgaon, Chennai, Bangalore, Pune (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru