Help design, build and continuously improve the clients online platform.
Research, suggest and implement new technology solutions following best practices/standards.
Take responsibility for the resiliency and availability of different products.
Be a productive member of the team.
Requirements
Strong experience as an AI Engineer with expertise in Python, Machine Learning, Deep Learning, and Generative AI.
Experience designing, developing, deploying, and optimizing scalable AI/ML and GenAI solutions for enterprise platforms.
Hands-on experience building AI solutions for intelligent automation, incident prediction, root cause analysis, knowledge assistants, and chatbots.
Experience developing clean, scalable, and reusable Python applications, APIs, and microservices.
Strong expertise in data preprocessing, feature engineering, and developing data processing pipelines for large-scale
enterprise datasets.
Experience integrating AI/ML solutions with Azure DevOps, CI/CD pipelines, and MLOps frameworks for automated model build, testing, deployment, versioning, and lifecycle management.
Hands-on experience managing the end-to-end AI model lifecycle, including training, validation, deployment, monitoring, and performance optimization.
Experience collaborating with platform engineering, data, analytics, business, and product teams to deliver enterprise AI solutions.
Strong understanding of enterprise security, governance, audit, and regulatory compliance for AI deployments.
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