About Us
Neuralix.ai is an award-winning AI solutions provider specializing in innovative technologies for diverse industries. Our data lifecycle templates empower industries to achieve rapid ROI by optimizing operations through AI-driven analytics. Our team is made up of AI researchers, engineers, and innovators who are dedicated to solving real-world challenges through next-generation technology.

At Neuralix.ai, we are committed to scalability, efficiency, and innovation, and we are seeking exceptional talent to help us design and build world-class data engineering solutions that shape the future of intelligent systems. About the Role
As a Data Engineer at Neuralix.ai, you will play a crucial role in designing and implementing high- performance, scalable data architectures that power our AI-driven solutions. You will work with cutting-edge technologies, optimize real-time and batch data processing, and collaborate with cross- functional teams to ensure seamless data flow. This role is perfect for those who thrive in a rapid-paced,



innovative environment and are eager to push the boundaries of data engineering.

What You’ll Do
- Architect and optimize high-performance data pipelines for structured and unstructured data.
- Design scalable ETL workflows that fuel our AI/ML models and business intelligence systems. Engineer cloud-native data infrastructure on AWS, GCP, or Azure to handle massive datasets.
- Build and maintain data lakes, warehouses, and real-time data streaming solutions.
- Optimize query performance and database architectures for lightning-fast insights.
- Automate workflows using orchestration tools like Airflow, Luigi, or Prefect.
- Collaborate with data scientists, analysts, and engineers to unlock the full potential of data.
- Security & Compliance – Ensure AI solutions comply with industry standards and data privacy regulations.

What Makes You a Great Fit?
- 3-7 years of hands-on experience in data engineering or a related field.
- Strong exper

📌 Senior Data Engineer (Delhi)
🏢 Neuralix
📍 Delhi