Data Engineer with AI/ML

Wissen Technology; Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Wissen Technology in Bengaluru seeks a skilled Data Engineer with AI/ML expertise to design, build, and maintain scalable data pipelines and infrastructure supporting analytics and AI-driven solutions.

Collaborate with Data Scientists, ML Engineers, Product teams, and stakeholders to deliver reliable, production-ready datasets and AI/ML solutions.

Qualifications

• Experience in data engineering, cloud platforms, big data technologies, and ML operationalization (MLOps).
• Ability to design scalable data architectures and production-ready AI/ML solutions.
• Collaborates with data scientists, ML engineers, and stakeholders to deliver high-quality datasets.

Responsibilities

• Design, develop, and optimize scalable batch and real-time data pipelines.
• Build and maintain data lakes, data warehouses, and ETL/ELT processes.
• Partner with Data Scientists and ML Engineers to prepare, transform, and manage datasets for AI/ML models.
• Develop data ingestion frameworks from structured and unstructured data sources.
• Implement robust data quality, governance, validation, and monitoring frameworks.
• Deploy and maintain ML pipelines in production environments using MLOps best practices.
• Integrate machine learning models into enterprise applications and business workflows.
• Optimize cloud-based data architectures for performance, scalability, and cost efficiency.
• Ensure compliance with security, privacy, and regulatory requirements.
• Troubleshoot performance bottlenecks and improve data processing efficiency.
• Document solutions, architecture designs, and operational procedures.

Skills

Data engineering

Cloud data pipelines

ML model deployment

AI/ML integration

Data governance

Tools

ETL/ELT Frameworks

MLOps Tools

Cloud Platforms

Big Data Technologies

Job description

Job Summary

We are seeking a highly skilled Data Engineer with AI/ML expertise to design, build, and maintain scalable data pipelines and infrastructure that support advanced analytics, machine learning, and AI-driven solutions. The ideal candidate will have strong experience in data engineering, cloud platforms, big data technologies, and ML operationalization (MLOps).

This role involves collaborating with Data Scientists, ML Engineers, Product Teams, and Business Stakeholders to deliver reliable, high-quality datasets and production-ready AI/ML solutions.

Key Responsibilities

• Design, develop, and optimize scalable batch and real-time data pipelines.


• Build and maintain data lakes, data warehouses, and ETL/ELT processes.


• Partner with Data Scientists and ML Engineers to prepare, transform, and manage datasets for AI/ML models.


• Develop data ingestion frameworks from structured and unstructured data sources.


• Implement robust data quality, governance, validation, and monitoring frameworks.


• Deploy and maintain ML pipelines in production environments using MLOps best practices.


• Integrate machine learning models into enterprise applications and business workflows.


• Optimize cloud-based data architectures for performance, scalability, and cost efficiency.

• Ensure compliance with security, privacy, and regulatory requirements.


• Troubleshoot performance bottlenecks and improve data processing efficiency.


• Document solutions, architecture designs, and operational procedures.