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Job Description
🚀 We’re Hiring:
**MLOps / LLMOps Engineer**
**Location:**
(Add location)
**Experience:**
3\+ years
**Company:**
Avrioc
🔍 About the Role
As part of a cross\-functional team of
**engineers, data scientists, and product owners**
, you’ll design, implement, and scale
**MLOps \& LLMOps infrastructure**
to take machine learning models from development to production—
**seamlessly and efficiently**
.
If you’re passionate about production\-grade ML systems and cutting\-edge LLM workflows,
**Avrioc is the place for you**
.
✅ Requirements
* Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
* 3\+ years of experience in
**MLOps / ML Engineering / Platform Engineering**
* Hands\-on experience with
**Docker, Kubernetes, EKS**
* Good\-to\-have experience with
**LLMOps best practices**
(monitoring, drift detection, prompt management, feedback loops)
* Familiarity with
**model optimization techniques**
(quantization, distillation, pruning)
* Strong experience in
**monitoring, observability, and alerting**
for ML systems
🛠 Technical Skills
* **Cloud:**
AWS
* **Orchestration:**
Kubernetes, EKS
* **Programming:**
Python
* **ML Frameworks:**
PyTorch / TensorFlow
* **Distributed Systems:**
Slurm, Ray
* **Hardware:**
Nvidia DGX
* **MLOps Tools:**
Kubeflow, MLflow
* **LLM Stack:**
LangChain, Chainlit, LlamaIndex
🎯 Key Responsibilities
* Build and manage
**containerized ML \& LLM deployments**
using Docker \& Kubernetes
* Implement
**LLMOps practices**
for monitoring, drift detection, and continuous improvement
* Optimize models for
**efficient inference on AWS**
* Design
**monitoring \& observability systems**
for performance, latency, and resource usage
* Lead
**prompt engineering and prompt management strategies**
* Collaborate with data scientists and engineers for seamless ML integration
* Automate
**model versioning and deployment**
across environments
* Design and maintain
**CI/CD pipelines for ML workflows**
* Ensure
**scalable, reliable, and efficient MLOps environments**
* Maintain strong
**documentation and operational standards**
* Stay up to date with emerging trends in MLOps \& LLMOps
🌟 Soft Skills
* Strong problem\-solving ability
* Excellent communication and collaboration skills
* Self\-driven and proactive mindset
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