02 Aug
|
iApp Technologies
|
India
02 Aug
iApp Technologies
India
A place for passion to grow
At iApp Technologies, we hire individuals who can grow with us, rather than simply filling positions with numbers. We provide a plethora of chances to support you in achieving professional success. As a design, consulting, development firm, we create platforms and solutions with the needs of our clients in mind. Our diversified workforce of exceptionally gifted and motivated people is the foundation of our success. Hi and welcome to the tribe if you're considering joining us offshore! Along the way, we share plenty of laughs, exchange ideas, work hard, and play hard.
Why Work With iApp Technologies?
01
Best People
We always wish to keep our team passionate, energetic and creative. We are motivated to provide value and high performance to our clients
02
Integrity
We are truthful, open, moral and honest. For us, people who trusted us are the brand ambassadors for our brand.
03
Passion
We are the passionate team players steer to encourage and motivate others.
04
Teamwork
We build a positive team and family spirit with open and honest relationships through communication.
DevOps Engineer
Job Title: DevOps Engineer (LLM & AI Infrastructure)
Experience Required: 3–4 Years
Role Overview:
We are looking for a DevOps Engineer who understands not just systems, but intelligence at scale — someone who can bridge infrastructure with modern AI workflows. This role focuses on building, managing, and optimizing environments for Large Language Models, image models, and high-performance GPU workloads.
Key Responsibilities:
Design, deploy, and manage scalable infrastructure for AI/ML workloads
Work with GPU-based systems and optimize performance for model training and inference
Build and maintain CI/CD pipelines for ML models and backend services
Deploy and manage containerized applications using Docker and Kubernetes
Handle orchestration of distributed systems and model serving pipelines
Optimize CUDA environments and GPU utilization
Manage cloud and on-prem compute clusters for AI workloads
Collaborate with ML engineers to productionize LLMs and LoRA-based fine-tuned models
Monitor system performance, logs, and reliability across services
Required Skills:
Strong proficiency in Python
Solid understanding of DevOps principles and infrastructure automation
Hands-on experience with Docker and Kubernetes
Experience with GPU systems, CUDA, and high-performance computing
Understanding of how Large Language Models (LLMs) work
Familiarity with LoRA (Low-Rank Adaptation) and model fine-tuning concepts
Knowledge of model deployment and inference pipelines
Experience with cloud platforms (AWS / GCP / Azure)
Good to Have:
Experience with model serving frameworks (Triton, TorchServe, vLLM, etc.)
Familiarity with Replicate or similar model hosting platforms
Knowledge of distributed training and inference optimization
Exposure to vector databases and retrieval systems
Building a Team of Excellence with
Endless Opportunities
We are constructing an outstanding team of people that would love to produce an amazing set of skills and creativity.
Every single person here embodies the ideals of being bright, dedicated, and friendly. Want to know our secrets:-
COLLABORATION WITH OUTSTANDING INDIVIDUALS
The cornerstone on which the whole firm was created is to employ outstanding individuals. You may be confident that when you work at iApp, you will be accompanied by genuine people who will assist you both personally and professionally.
MAKE DEVELOPMENT A TOP PRIORITY
We are eternal learners. You will be provided with the resources and guidance you need to thrive at a firm dedicated to growth, whether you are acquiring recent skills or fine-tuning those you already have.
CONSTANT OPPORTUNITIES
We provide limitless chances for advancement. We have a propensity of upsetting the status quo. So don’t anticipate a slow response from us. If you have a willing-to-do mentality, be certain that we will exceed your professional goals.
📌 DevOps Engineer (India)
🏢 iApp Technologies
📍 India