Cloud Native MLOps Architect
5 days ago
At NEW TONE CONSULTING PTE. LTD., we are looking for a skilled Senior MLOps Engineer to lead the development and deployment of generative AI and ML applications.
About the Role:This role involves leading the design, development, and deployment of machine learning models in production environments using Microsoft OpenAI, Domino Data Lab, and Mistral models.
Responsibilities:- Lead Model Deployment and Optimization: Lead the deployment, optimization, and monitoring of machine learning models in production environments.
- Manage Infrastructure: Manage ML infrastructure, ensuring scalability and reliability on cloud or on-premise platforms.
- Develop CI/CD Pipelines: Build CI/CD pipelines for model deployment and automate ML workflows.
- Implement Containerization: Implement containerization (Docker, Kubernetes, OpenShift) for model packaging.
- Set Up Model Monitoring: Set up model monitoring, logging, and performance tracking.
- Ensure Regulatory Compliance: Ensure regulatory compliance with data protection standards.
- Collaborate with Teams: Collaborate with data scientists and application teams to improve ML operations.
- 7+ Years of IT Experience: Possess 7+ years of IT experience with a focus on MLOps.
- Azure, AWS, or GCP Experience: Have hands-on experience with Azure, AWS, or GCP for ML model deployment.
- ML Frameworks: Be proficient in ML frameworks such as scikit-learn, TensorFlow, PyTorch, and Keras.
- Programming Languages: Be proficient in programming languages like Python, Bash, Go, and Ruby, and have working knowledge of Linux environments.
- MLOps Tools: Have strong understanding of MLOps tools such as Kubeflow, MLFlow, Airflow, and DataRobot.
- IaC and CI/CD Pipelines: Experience with IaC (Terraform, CloudFormation) and CI/CD pipelines.
- APIGEE API Management: Knowledge of APIGEE API Management, model versioning, and performance tuning.
- Mistral Models and Generative AI Tools: Experience with Mistral models and generative AI tools.
- MLOps Certification: Hold MLOps Certification or Domino Data Lab Certification.
- Agile Methodologies: Working knowledge of Scrum/Agile methodologies.
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