Senior Data Engineer
Actively Reviewing the ApplicationsUplers
India, Bhubaneswar, Odisha
Full-Time
On-site
INR 10–30 LPA
Posted 2 days ago
•
Apply by June 16, 2026
Job Description
Experience: 3.00 + years
Salary: Confidential (based on experience)
Expected Notice Period: 30 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Hybrid ()
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Incept Labs)
(*Note: This is a requirement for one of Uplers' client - Incept Labs)
What do you need for this opportunity?
Must have skills required:
Telecom background, Python
Incept Labs is Looking for:
Senior Data Engineer
About Us
Incept Labs is an AI research lab based in San Francisco, California. Our small team of scientists, engineers, and builders is passionate about developing domain-specific, next-generation AI solutions to enhance education and research. Backed by marquee investors and scientific collaborators, we believe in a future where humans and AI work together side by side. Together, AI processes knowledge at scale while humans contribute imagination, values, and lived experience, creating new ways to discover, adapt, and grow.
About This Role
We''re looking for a Software Engineer with deep expertise in large-scale data processing for LLM development. Data engineering is critical to successful model training and evaluation. You''ll work directly with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets.
You’ll join a high-impact, compact team responsible for both architecture and scaling of Incept’s data and model development infrastructure, and work with highly complex, multi-modal data.
Responsibilities
How to apply for this opportunity?
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Salary: Confidential (based on experience)
Expected Notice Period: 30 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Hybrid ()
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Incept Labs)
(*Note: This is a requirement for one of Uplers' client - Incept Labs)
What do you need for this opportunity?
Must have skills required:
Telecom background, Python
Incept Labs is Looking for:
Senior Data Engineer
About Us
Incept Labs is an AI research lab based in San Francisco, California. Our small team of scientists, engineers, and builders is passionate about developing domain-specific, next-generation AI solutions to enhance education and research. Backed by marquee investors and scientific collaborators, we believe in a future where humans and AI work together side by side. Together, AI processes knowledge at scale while humans contribute imagination, values, and lived experience, creating new ways to discover, adapt, and grow.
About This Role
We''re looking for a Software Engineer with deep expertise in large-scale data processing for LLM development. Data engineering is critical to successful model training and evaluation. You''ll work directly with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets.
You’ll join a high-impact, compact team responsible for both architecture and scaling of Incept’s data and model development infrastructure, and work with highly complex, multi-modal data.
Responsibilities
- Design, build, and operate scalable, fault-tolerant data infrastructure to support distributed computing and data orchestration for LLM Research
- Develop and maintain high-throughput systems for data ingestion, processing, and transformation to support LLM model development
- Develop synthetic datasets using state-of-the-art solutions
- Collaborate with research teams to deliver critical data assets for model development and evaluation
- Implement and maintain monitoring and alerting to support platform reliability and performance
- Build systems for traceability, reproducibility, and robust quality control to ensure adherence to industry compliance standards
- 5+ years of experience in data infrastructure, ideally supporting high-scale applications or research platforms.
- Fluent in distributed computing frameworks.
- Deeply familiar with cloud infrastructure, data storage architectures, and batch + streaming pipelines.
- Experience with specialized hardware (GPUs, TPUs) computing and GPU cluster.
- Strong knowledge of databases, storage systems, and how architecture choices impact performance at scale.
- Familiar with microservices architectures, containerization and orchestration, and both synchronous and asynchronous processing.
- Extensive experience with performance optimization and memory management in high-volume data systems.
- Proactive about documentation, automation, testing, and empowering your teammates with good tooling.
How to apply for this opportunity?
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Required Skills
Engineering
Quality Control
Documentation
Automation
Compliance
Monitoring
Python
Training
Research
Data Engineering
Testing
Hiring
Hardware
Orchestration
Performance optimization
GPUs
Memory management
Model development
Data processing
Data ingestion
Storage systems
Art
Ingestion
Traceability
Cluster
Scientific
Data systems
GPU
Synthetic
Reproducibility
Distributed computing
Asynchronous
Data Orchestration
Cloud Infrastructure
Model Training
Storage
Memory
Batch
Computing
Compensation and Benefits
Imagination
LLM
Data storage
Quick Tip
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