MLOps Engineer (On-site)

HR Ways; Islamabad; On-site; PKR 1,400,000 - 2,000,000; Full time

Job summary

A GreenTech Organization is seeking an MLOps Engineer in Islamabad to manage the model lifecycle, optimize APIs using FastAPI, and work with Docker for deployment. Ideal candidates should have at least 2 years of MLOps experience and a Bachelor’s degree. Strong skills in Python and Linux are essential for this role.

Qualifications

• 2+ years of hands-on experience in an MLOps or related engineering role.
• Proven ability to write production-grade code using Python.
• Familiarity with deep learning model checkpointing and drift detection.

Responsibilities

• Manage the end-to-end model lifecycle including versioning and monitoring.
• Develop and optimize APIs using FastAPI for model integration.
• Build and manage Docker containers for model deployment.

Skills

Python

FastAPI

Docker

Model Lifecycle Management

Linux

Education

Bachelor’s degree in Computer Science or Engineering

Job description

Overview

We are a GreenTech Organization committed to energy efficiency and environmental sustainability. Opportunity: We are looking for a motivated and talented MLOps Engineer to join our team. This role is ideal for someone with a strong foundation in Python, FastAPI, Docker, and model lifecycle management, particularly in the deep learning domain. If you have a keen understanding of ML model drift, production-ready coding skills, and a solid grasp of Linux OS, we encourage you to apply.

Key Responsibilities

• Model Lifecycle Management: Manage the end-to-end model lifecycle, including checkpointing, versioning, and monitoring for deep learning models.
• Monitor and implement model-drift detection techniques to maintain model accuracy over time.
• API Development: Develop, manage, and optimize APIs using FastAPI for seamless integration and deployment of ML models into production environments.
• Ensure APIs are robust, secure, and scalable.
• Containerization and Docker Management: Build, deploy, and manage Docker containers for reproducibility and scalability in model deployment.
• Implement best practices for container security and resource optimization.
• Utilize Linux-based systems for MLOps pipeline setup, configuration, and troubleshooting.
• Manage and automate server-level tasks and deployments using shell scripting and other Linux tools.
• Write clean, maintainable, and efficient code for production environments, following best coding practices and standards.
• Work with cross-functional teams to ensure smooth model deployment and operational support.

Must Have

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: 2+ years of hands-on experience in an MLOps or related engineering role.
• Technical Skills:
  • Programming: Proficiency in Python, with the ability to write production-grade code.
  • API Management: Solid experience with FastAPI and API development.
  • Containerization: Hands-on experience with Docker, including container management, orchestration, and optimization.
  • Model Lifecycle Management: Familiarity with deep learning model checkpointing, versioning, and drift detection.
  • Operating System: Strong knowledge of Linux environments and shell scripting.

Nice to Have

• Familiarity with cloud platforms (AWS) for model deployment and monitoring.
• Basic knowledge of CI/CD pipelines in a machine learning context.

Other Details

• Location: Islamabad
• Apply at: [e-mail] (not com)

About HR Ways

HR Ways is an award-winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide, ranging from the world's biggest SaaS Companies to the most competitive Startups. We have entities in Dubai, Canada, the US, the UK, Pakistan, India, Saudi Arabia, Portugal, Brazil, and other parts of the world. Join our Whatsapp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more.