We are looking for a highly skilled and experienced MLOps Engineer with 2 to 5 years of experience. The ideal candidate should have a B.Tech, .Tech, or .S. in Computer Science, Data Engineering, Artificial Intelligence, or a related discipline.

Roles and Responsibility

- Design and implement scalable data pipelines using cloud-based technologies.
- Collaborate with cross-functional teams to develop and deploy machine learning models.
- Develop and maintain automated testing frameworks for machine learning models.
- Troubleshoot and resolve issues related to model deployment and data quality.
- Implement continuous integration and delivery pipelines for machine learning models.
- Work closely with data engineers to design and implement data architectures.

Job Requirements

- Solid understanding of machine learning concepts and algorithms.
- Experience with cloud-based platforms such as AWS, Azure,



or GCP.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with containerization using Docker and Kubernetes.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Certifications in cloud DevOps or MLOps platforms are desirable.
- Contributions to MLOps, AIOps, or DevOps open-source projects are preferred.

About Company Wits Innovation Lab is a leading research and development organization that focuses on creating innovative solutions for complex problems. We are committed to collaborating with cross-functional teams to drive business growth and improve customer experiences.

📌 MlOps Engineer (Delhi)
🏢 Wits Innovation Lab
📍 Delhi