MLOps Engineer

C5i; Gurugram District, Bengaluru, Mumbai; Hybrid; INR 12,00,000 - 16,00,000; Full time

Job summary

A technology company in Gurugram is looking for a candidate with 4+ years of experience in deploying and monitoring machine learning models. Ideal candidates should have a basic understanding of ML and experience with MLOps tools like Kubernetes and Docker. Strong Python skills and proficiency in cloud platforms such as Azure and AWS are essential. The role involves ensuring effective model development and continuous integration practices.

Qualifications

• 4+ years of hands-on experience in deploying and monitoring machine learning models.
• Proficiency in cloud platforms, especially Azure and/or AWS.
• Strong scripting skills (e.g., Python) for automation and tool development.

Skills

Machine Learning deployment

Data science fundamentals

MLOps tools usage

CI/CD practices

Cloud proficiency (Azure/AWS)

Python scripting

Problem-solving skills

Tools

Kubernetes

Docker

Apache Airflow

Job description

Qualifications

• Experience: 4+ years of hands‑on experience in deploying and monitoring machine learning models.
• Basic understanding of ML and data science/modeling aspects.
• Experience with open‑source tools for MLOps, such as Kubernetes, Docker, and Apache Airflow and developing and streamlining workflows, building scalable pipelines, etc.
• Ensuring successful model development, testing, optimization, scaling, monitoring/observability, and governance
• Continuous integration and continuous deployment (CI/CD)
• Proficiency in cloud platforms, especially Azure and/or AWS.
• Strong scripting skills (e.g., Python) for automation and tool development.
• Problem‑Solving:
  • Strong problem‑solving skills with a focus on finding efficient and scalable solutions.
  • Ability to learn new tools on the go and developing best practices is mandatory.