, we do not just build AI -- we architect the intelligence that drives the future.
Important Note:
Please read this post carefully. We are hiring
fresh minds only
who are eager to
learn, adapt, and embrace challenges
. The first
2 months of internship will be unpaid
, followed by a
stipend-based internship
. After completion of
6 months
, performance will be evaluated and the role may be
converted to a full-time position
.
Role Summary
As a
Data Engineer Intern
, you will work closely with AI developers to design, build, and optimize data pipelines that power intelligent systems. You will help integrate AI services into both frontend and backend architectures, ensuring seamless data flow and scalability.
Key Responsibilities
Assist in building and maintaining robust data pipelines for AI and analytics workflows.
Collaborate with AI engineers to integrate AI models into production systems.
Perform data extraction, transformation, and loading (ETL) operations.
Support database design, data cleansing, and performance optimization.
Implement APIs and data connectors for model-to-app communication.
Monitor data quality, availability, and performance metrics.
Document processes and contribute to improving internal data frameworks.
Must-have Qualifications
Bachelor's degree in Computer Science, IT, or related field (pursuing or completed).
Basic understanding of
Python, SQL, and data structures
.
Familiarity with
database systems
(MySQL, PostgreSQL, MongoDB, etc.).
Understanding of
data pipelines, ETL concepts, or cloud platforms
is a plus.
Eagerness to learn AI model integration and data engineering best practices.
Preferred / Nice-to-have
Exposure to tools like
Apache Airflow, Spark, or Kafka
.
Understanding of
REST APIs and backend integration
.
Familiarity with
AI workflows
or
ML model deployment
.
Knowledge of
Docker or Git version control
.
Soft Skills & Culture Fit
Strong analytical thinking and logical problem-solving.
Passion for AI, data, and emerging technologies.
Self-starter mindset with ownership and accountability.
Excellent communication and documentation skills.
Comfort with ambiguity and startup-style rapid learning.
What We Offer / Growth Opportunities
Hands-on experience with
AI integration projects
.
Mentorship from senior AI and data engineers.
Real-world exposure to
MLOps, data pipelines, and AI deployment
.
Opportunity for
full-time conversion
based on performance.
Fast-paced environment that rewards innovation and curiosity.
Engagement Details
Work from Office (WFO)
- local candidates preferred.
Office hours:
10:00 AM - 7:00 PM (Monday to Friday).
Flexible timings available within working hours.
Internship Duration:
6 months
(first 2 months unpaid).
Email your application to
hello@brainyneurals.com
Email Subject Line:
Application: Data Engineer Intern - -
How to Apply
Send your resume and a short cover note explaining why you're a great fit to