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MLOps Lead
Job Location:
Monthly Salary:
Experience Required:
Posted:
16 October 2026 (5 days ago)
Posted:
Application Deadline:
13 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
MLOps Lead
Summary
We are seeking an experienced MLOps Lead to spearhead the integration deployment and maintenance of machine learning systems within our IT Services this pivotal role you will bridge the gap between data science and engineering ensuring that robust scalable and efficient machine learning pipelines are delivered to production. Your leadership will be instrumental in optimizing workflow automation managing model lifecycles and fostering a collaborative environment that drives innovation and operational excellence in our AI initiatives.
Responsibilities
- Architect and oversee the design of scalable infrastructure to ensure high reliability and performance of machine learning pipelines.
- Lead the implementation of comprehensive model versioning strategies and lifecycle management protocols to streamline development and deployment.
- Drive the automation of end-to-end workflows reducing manual intervention and accelerating the time-to-market for new models.
- Establish and maintain CI/CD pipelines specifically tailored for machine learning applications to ensure continuous integration and delivery.
- Provide strategic direction and mentorship to the team fostering a culture of collaboration and technical excellence.
- Monitor and enhance the stability of production environments proactively addressing potential bottlenecks or failures in ML deployments.
Requirements
Requirements:
- Minimum of 7 years of professional experience in the IT Services industry with a significant focus on machine learning operations.
- Proven expertise in workflow automation tools and techniques for complex data engineering tasks.
- Deep understanding of model versioning systems and lifecycle management best practices.
- Strong background in building and maintaining reliable infrastructure and production-grade ML pipelines.
- Demonstrated ability in leading cross-functional teams and collaborating effectively with data scientists and software engineers.
- Extensive hands-on experience with MLOps frameworks ML model deployment strategies and CI/CD methodologies for machine learning.
- Competitive salary package of 19 LPA commensurate with experience and expertise.
Required Skills:
PRIMARY SKILLS MLOps and ML Model Deployment Production ML Pipelines CI/CD for Machine Learning Model Monitoring and Performance Optimization Cloud Platforms SECONDARY SKILLS Workflow Automation Model Versioning and Lifecycle Management Infrastructure and Pipeline Reliability Team Leadership and Collaboration
Required Education:
Bachelors degree in computer science Engineering or related field
