Hiring: MLOps Engineer /Remote

Overview

We are looking for an experienced MLOps Engineer to help build, deploy, and scale machine learning models in production. If you have a strong background in both machine learning and DevOps practices, this role is perfect for you!

Experience: 6–8 Years

Key Responsibilities:
– Design and implement scalable MLOps pipelines
– Deploy, monitor, and maintain ML models in production
– Collaborate with data scientists and engineers for model lifecycle management
– Automate workflows for training, testing, and deployment
– Ensure reliability, scalability, and performance of ML systems

Required Skills:
– Strong experience in MLOps / DevOps practices
– Proficiency in Python
– Hands-on experience with ML frameworks (TensorFlow / PyTorch / Scikit-learn)
– Experience with CI/CD pipelines (Jenkins, GitHub Actions, etc.)
– Knowledge of Docker & Kubernetes
– Experience with cloud platforms (AWS / Azure / GCP)
– Understanding of model monitoring & data drift concepts

Good to Have:
Experience with MLflow, Kubeflow, or Airflow
Knowledge of Big Data tools (Spark, Hadoop)
Familiarity with Data Engineering workflows