Key Responsibilities:
Build & support automation requirement & opportunities across analytics programs
Build Power BI dashboards, semantic models, KPI scorecards, executive reports
Partner with BU stakeholders to identify AI use cases and deliver intelligent knowledge discovery capabilities.
Design and develop monitoring and QA automation solutions to streamline processes, reduce manual effort, and improve operational efficiency.
Work with stakeholders in providing additional analysis based on specific needs
Support and contribute to various GenAI initiatives across the organization.
Research and stay UpToDate with the latest advancements in generative AI technologies, models, and frameworks.

Key Skills:
Minimum 7 years of hands-on experience in Data Analysis, Automation, Cloud-native development.
Proven track record of delivering cloud native solution and automations in production settings.
Ability to interpret complex data and translate it into meaningful business insights and recommendations.




Robust programming expertise in Python, PySpark, Databricks, BigQuery/Redshift, and SQL for large-scale data processing, analytics, and reporting solutions.
Deep understanding of Python libraries such as NumPy, Pandas, Matplotlib etc.
Understanding of GenAI applications. Good to have experience in Retrieval-Augmented Generation (RAG)
Experience designing and building APIs and services using frameworks like FastAPI/Flask.
Positive to have understanding of MLOps principles, including model versioning, automated evaluation, and CI/CD process.
Excellent verbal, written communication and presentation skills

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Analyst Ai Engineer Tamil Nadu
🏢 Eyeota
📍 Tamil Nadu