Description

You will design, evolve, and optimize the company's cloud-based data architecture.

Responsibilities

• Design end-to-end AI/ML workflows, covering ingestion, training, validation, and deployment in the cloud.
• Architect and scale distributed cloud solutions for real-time and batch AI/ML workloads.
• Implement automated build, test, and deployment pipelines for ML models using MLOps principles.
• Establish protocols for data access, privacy, encryption, and regulatory compliance.
• Serve as the liaison between business stakeholders, development teams, and data scientists to translate needs into technical solutions.

Required Skills

• 5+ years of experience in cloud-based data architecture.
• Expertise in designing and building cloud data solutions.
• Hands-on experience with Kubernetes.
• Proficiency in MLOps practices and implementing CI/CD for ML models.
• Strong background in AI/ML system design and data engineering.
• Experience selecting optimal cloud services, AI/ML platforms, and infrastructure components.
• Ability to design and optimize large-scale, distributed cloud infrastructure.
• Familiarity with hybrid/multi-cloud strategies.
• Ability to create detailed architectural diagrams and policy documentation.

Key Skills

Education

Any Gradute