
Machine Learning Operations Specialist
2 weeks ago
Job Opportunity:
We are seeking a skilled professional to fill the role of MLOps Specialist. This position will be responsible for designing and implementing scalable and reliable machine learning infrastructure and pipelines.
Main Responsibilities:
- Collaborate with data scientists to deploy machine learning models to production environments using CI/CD tools such as Git, Jenkins, and Bash.
- Automate the deployment, monitoring, and management of ML models using Docker and container orchestration technologies like Kubernetes.
- Manage infrastructure as code using Terraform to provision and manage cloud resources on AWS.
- Leverage AWS services (S3, Lambda, EC2, SNS/SQS, IAM) to build and maintain robust ML solutions.
- Develop and maintain scripts and tools in Python (3+) and Java (11+) to support ML workflows.
Requirements:
- Strong experience with DevOps practices and tools, including Git, Jenkins, and Bash.
- Proficiency in containerization technologies such as Docker and Kubernetes.
- Hands-on experience with Terraform for infrastructure as code.
- Minimum of 1 year of experience in machine learning operations.
- Solid knowledge of AWS services, including S3, Lambda, EC2, SNS/SQS, and IAM.
- Proficiency in Python (3+) and Java (11+).
Preferred Qualifications:
- Experience with ML frameworks and libraries such as TensorFlow, PyTorch, or Scikit-Learn.
- Familiarity with MLOps tools and platforms such as MLflow, Kubeflow, or SageMaker.
About the Role:
This is an exciting opportunity to work at the intersection of machine learning and operations. As an MLOps Specialist, you will play a critical role in driving the success of our ML models and ensuring they are deployed efficiently and effectively.
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