Design the architecture for ML training, deployment, monitoring, and MLOps pipelines.
MLOps Strategy:
Develop and implement strategies for Machine Learning Operations to ensure continuous integration and deployment (CI/CD) of ML models.
Data Architecture:
Define data pipelines and infrastructure standards to support ML workflows, ensuring data quality and integrity.
Technical Leadership:
Provide technical direction and expertise, working at the intersection of data science, software engineering, and AI research.
Collaboration:
Work with cross-functional teams, including data scientists, data engineers, and business stakeholders, to understand requirements and deliver solutions.
Tooling & Technology:
Evaluate and select appropriate cloud-native ML tooling, frameworks, and infrastructure components.
Business Alignment:
Translate business needs into technical requirements and ensure that AI/ML solutions deliver tangible business value.
Governance & Compliance:
Collaborate with security and compliance teams to develop AI risk frameworks and ensure model reproducibility, lifecycle tracking, and governance.
Age limit:20 to 30.
Job Types: Full-time, Permanent, Fresher
Pay: ₹34,567.79 - ₹57,274.24 per month
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