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ML Ops Engineer

Avrioc Technologies
Abu Dhabi, UAE
Fulltime
Mid-Senior
2 months ago
PythonAWSDockerKubernetesMachine LearningTensorFlow
Free

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Overview

🚀 We’re Hiring:

Location

(Add location)

Experience

3+ years

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 And Ml Engineering And 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 And 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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