Roles and Responsibility

- Design and implement scalable DevOps infrastructure using tools like Jenkins, Docker, and Kubernetes.
- Develop and maintain machine learning models using Python and other relevant technologies.
- Collaborate with cross-functional teams to identify and prioritize project requirements.
- Ensure seamless integration of ML models into existing systems using data pipelines and APIs.
- Troubleshoot and resolve complex technical issues related to DevOps and MLOps.
- Implement automated testing and deployment scripts using tools like Ansible and Terraform.

Job Requirements

- Solid understanding of DevOps principles and practices, including continuous integration and delivery.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Proficiency in programming languages like Python, Java, or C++.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

📌 Senior DevOps + MLOps Engineer (Hyderabad)
🏢 Luxoft
📍 Hyderabad