Job Description

Responsibilities :
Must have 3-5 years of hands-on experience on Data Engineering, Cloud, DevOps and AI/Model Engineering across the following technology stack
o Advanced SQL
o GCP
o Cloud services
o Airflow or an equivalent cloud native orchestration tool
o Kubernetes or an equivalent cloud native container service
o Microservices
o DevOps
o Mlflow an equivalent cloud native model deployment and monitoring service
o Basics of Generative AI
? Large Language Models
? Prompt Engineering
? LangChain/LangGraph
o Basics of Responsible AI

• Knowledge of design principles and fundamentals,
• Understanding of performance optimization/automations,
• Basic understanding of project domain,
• Good understanding of AI/ML deployment and operations
• Awareness of latest technologies and trends
• Logical thinking and problem-solving skills along with an ability to collaborate
• Excellent interpersonal and analytical skills

Additional Responsibilities :

Technical and Professional Requirements :

• Primary skills:Domain->Retail->Retail Supply Chain & Distribution->Food & Beverages,Technology->Cloud Platform->Google Machine Learning,Technology->Geographical Information System->Spatial Databases->SQL Server

Preferred Skills :
Technology->Cloud Platform->Google Machine Learning->GCP,Technology->Cloud Platform->GCP Data Analytics,Technology->Machine Learning->Generative AI->embeddings (gcp multimodalembedding model)
Educational Requirements :
Bachelor of Engineering
Service Line :
Data & Analytics Unit

Skills Required