We are looking for an experienced MLOps Engineer with 8+ years of experience in Python, Data Science, and AWS to design, deploy, and manage scalable machine learning solutions. The ideal candidate will have strong expertise in operationalizing machine learning models and building reliable ML pipelines in cloud environments.
Key Responsibilities:
Design, build, and maintain machine learning pipelines using Python.
Collaborate with data science teams to deploy and scale ML models into production.
Implement MLOps practices for model training, testing, deployment, and monitoring.
Manage ML infrastructure and workflows using AWS cloud services.
Ensure efficient model lifecycle management, versioning, and automation.
Monitor and optimize model performance in production environments.
Required Skills:
8+ years of experience in software engineering, data science, or MLOps.
Strong programming expertise in Python.
Solid knowledge of Data Science and Machine Learning concepts.
Hands-on experience with MLOps tools and ML pipeline development.
Experience working with AWS cloud platform for ML deployment.
Preferred Skills:
Experience in model monitoring, CI/CD pipelines, and automation for ML workflows.
Understanding scalable data processing and cloud-based ML architectures.
Work Location: Remote
