Data Engineer + Ai Engineers

Infosys; Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Infosys in Hyderabad is seeking a Data Engineer + AI Engineer with 5-12 years of experience to design and deploy scalable data pipelines and AI solutions.

You will build data warehouses and lakes, develop AI/ML models, implement MLOps, and collaborate with data scientists and stakeholders while ensuring governance and security.

Role involves integrating AI with enterprise apps, optimizing processing, and monitoring model performance in production.

Qualifications

• Design and develop scalable data pipelines and ETL workflows.
• Build and maintain data warehouses, data lakes, and analytical datasets.
• Develop AI/ML models for business use cases.
• Create Generative AI and LLM-powered applications.
• Implement RAG architectures using vector databases and enterprise data.
• Perform data cleaning, transformation, and feature engineering.
• Integrate AI solutions with enterprise applications and APIs.
• Optimize data processing and model performance.
• Develop and deploy ML models using MLOps best practices.
• Monitor data quality, model accuracy, and system reliability.
• Collaborate with data scientists, analysts, and business stakeholders.
• Ensure security, governance, and compliance of data and AI solutions.

Responsibilities

• Design and develop scalable data pipelines and ETL workflows.
• Build and maintain data warehouses, data lakes, and analytical datasets.
• Develop AI/ML models for business use cases.
• Create Generative AI and LLM-powered applications.
• Implement RAG architectures using vector databases and enterprise data.
• Perform data cleaning, transformation, and feature engineering.
• Integrate AI solutions with enterprise applications and APIs.
• Optimize data processing and model performance.
• Develop and deploy ML models using MLOps best practices.
• Monitor data quality, model accuracy, and system reliability.
• Collaborate with data scientists, analysts, and business stakeholders.
• Ensure security, governance, and compliance of data and AI solutions.

Skills

Data pipelines

ETL workflows

Data warehouses

Data lakes

AI/ML models

Generative AI

LLM-powered apps

RAG architectures

Vector databases

MLOps

APIs integration

Tools

Vector databases

MLOps platforms

APIs

Job description

Position: Data Engineer + Ai Engineer

Experience: 5-12 years

Location: Hyderabad

Employment Type: Full-Time

Roles & Responsibilities

• Design and develop scalable data pipelines and ETL workflows.
• Build and maintain data warehouses, data lakes, and analytical datasets.
• Develop AI/ML models for business use cases.
• Create Generative AI and LLM-powered applications.
• Implement RAG architectures using vector databases and enterprise data.
• Perform data cleaning, transformation, and feature engineering.
• Integrate AI solutions with enterprise applications and APIs.
• Optimize data processing and model performance.
• Develop and deploy ML models using MLOps best practices.
• Monitor data quality, model accuracy, and system reliability.
• Collaborate with data scientists, analysts, and business stakeholders.
• Ensure security, governance, and compliance of data and AI solutions.