MLOps Engineer (AI/ML)

TL;DR

MLOps Engineer (AI/ML): Building and optimizing model deployment, monitoring, and retraining pipelines for Data Science projects with an accent on MLOps architecture and drift detection. Focus on implementing and researching MLOps tools, raising organizational maturity, and automating data science workflows.

Location: AIA- Coimbatore, India

Company

hirify.global is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era.

What you will do

• Deploy, monitor, and retrain ML models and pipelines.
• Implement and research MLOps tools, frameworks, and platforms for data science projects.
• Proactively introduce modern, agile, and automated approaches to Data Science.
• Work on activities to raise MLOps maturity within the organization.
• Conduct internal training and presentations on MLOps tools.
• Publish REST APIs for model inference.

Requirements

• Wide experience with Kubernetes.
• Experience in operationalizing Data Science projects (MLOps) using popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
• Good understanding of ML and AI concepts with hands-on experience in ML model development.
• Proficiency in Python for ML and automation tasks.
• Good knowledge of Bash and Unix command line toolkit.
• Experience in CI/CD/CT pipelines implementation.
• English: B2 required

Nice to have

• Experience with cloud platforms, preferably AWS.

Culture & Benefits

• High caliber team who appreciate and support one another.
• Energetic, collaborative, and inclusive workplace where everyone can thrive.
• Part of a global community with more than 300,000 associates.
• Opportunity to build the career path that's right for you in an innovative environment.