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DevOps Engineer for AI and ML
2 weeks ago
At Hashone Careers Private Limited, we are committed to delivering cutting-edge machine learning solutions that drive business growth. Our DevOps team is responsible for ensuring the seamless deployment, monitoring, and scaling of machine learning models.
We are looking for an experienced DevOps Engineer for AI and ML to join our team. As a key member of our DevOps team, you will play a crucial role in designing, implementing, and maintaining scalable and reliable ML infrastructure and pipelines.
Key Responsibilities:
- Design and implement scalable and reliable ML infrastructure and pipelines.
- Collaborate with data scientists to deploy machine learning models to production environments.
- Automate the deployment, monitoring, and management of ML models using CI/CD tools such as Git, Jenkins, and Bash.
- Utilize Docker and container orchestration technologies to ensure consistent and reproducible ML environments.
- Manage infrastructure as code using Terraform to provision and manage cloud resources.
- 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.
- Monitor and troubleshoot ML models in production, ensuring high availability and performance.
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+).
- Strong problem-solving skills and the ability to troubleshoot complex issues.
- Excellent communication and collaboration skills.