ML Ops Engineer

Overview

Location

Experience

Avrioc

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