AI Engineer

Infosys; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys is seeking a skilled professional in Bengaluru, India, to design and implement AI solutions within their delivery team. The ideal candidate should have 3-5 years of hands-on experience in Data Engineering, Cloud, DevOps, and AI/Model Engineering, along with advanced SQL and experience with tools like PySpark and Kubernetes. Excellent analytical and problem-solving skills are essential for success in this role, which focuses on deploying AI applications at enterprise scale.

Qualifications

• 3-5 years of hands-on experience on Data Engineering, Cloud, DevOps and AI/Model Engineering.
• Excellent interpersonal and analytical skills.
• Logical thinking and problem-solving skills.

Responsibilities

• Design and implement AI solutions in an enterprise landscape.
• Analyze requirements to understand deployment needs for AI solutions.
• Contribute to deploying and managing AI applications at enterprise scale.

Skills

Data Engineering

Cloud

DevOps

AI/Model Engineering

Advanced SQL

PySpark

Airflow

Kubernetes

Microservices

Mlflow

Generative AI

Large Language Models

Prompt Engineering

Responsible AI

Performance Optimization

Job description

Responsibilities

As part of the Infosys delivery team, your primary role would be to design and implement AI solutions in an enterprise landscape. You will analyze the requirements and specifications to understand the deployment needs for AI solutions and design and implement the deployment strategy. You would be a key contributor to deploy and manage AI applications at enterprise scale.

Qualifications

• 3-5 years of hands‑on experience on Data Engineering, Cloud, DevOps and AI/Model Engineering
• Advanced SQL
• PySpark
• Cloud services
• Airflow or an equivalent cloud‑native orchestration tool
• Kubernetes or an equivalent cloud‑native container service
• Microservices
• DevOps
• Mlflow or an equivalent cloud‑native model deployment and monitoring service
• Basics of Generative AI
• Large Language Models
• Prompt Engineering
• LangChain/LangGrapho
• Basics of Responsible AI including 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 and ability to collaborate
• Excellent interpersonal and analytical skills