Overview:
*we are pepsico*
pepsico is one of the world's leading food and beverage companies with more than $79 billion in net revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 billion in annual retail sales. Pepsico's products are sold in more than 200 countries and territories around the world. Pepsico's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
*responsibilities*:
*the opportunity*
- support and maintain aiops and mlops programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy.
- assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency.
- contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including azure, aws, gcp, and on-prem environments.
- ensure seamless integration of ci/cd pipelines, data pipeline automation, and self-healing capabilities across the enterprise.
- collaborate with cross-functional teams to support the development and enhancement of next-generation data & analytics (d&a) platforms.
- assist in managing the people, processes, and technology involved in sustaining data & analytics platforms, driving operational excellence and continuous improvement.
- support data & analytics technology transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the pepsico data estate.
*your impact*
as *associate manager, d&ai aiops, mlops operations, supply chain & procurement* your scope would consist:
- support the implementation of aiops strategies for automating it operations using azure monitor, azure log analytics, and ai-driven alerting.
- assist in deploying azure-based observability solutions (azure monitor, application insights, azure synapse for log analytics, and azure data explorer) to enhance real-time system performance monitoring.
- enable ai-driven anomaly detection and root cause analysis (rca) by collaborating with data science teams using azure machine learning (azure ml) and ai-powered log analytics.
- contribute to developing self-healing and auto-remediation mechanisms using azure logic apps, azure functions, and power automate to proactively resolve system issues.
- support ml lifecycle automation using azure ml, azure devops, and azure pipelines for ci/cd of ml models.
- assist in deploying scalable ml models with azure kubernetes service (aks), azure machine learning compute, and azure container instances.
- automate feature engineering, model versioning, and drift detection using azure ml pipelines and mlflow.
- optimize ml workflows with azure data factory, azure databricks, and azure synapse analytics for data preparation and etl/elt automation.
- implement basic monitoring and explainability for ml models using azure responsible ai dashboard and interpretml.
- collaborate with data science, devops, cloudops, and sre teams to align aiops/mlops strategies with enterprise it goals.
- work closely with business stakeholders and it leadership to implement ai-driven insights and automation to enhance operational decision-making.
- track and report ai/ml operational kpis, such as model accuracy, latency, and infrastructure efficiency.
- assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience.
- support the implementation of ai ethics, bias mitigation, and responsible ai practices using azure responsible ai toolkits.
- ensure adherence to azure information protection (aip), role-based access control (rbac), and data security policies.
- assist in developing risk management strategies for ai-driven operational automation in azure environments.
- prepare and present program updates, risk assessments, and aiops/mlops maturity progress to stakeholders as needed.
- support efforts to attract and build a diverse, high-performing team to meet current and future business objectives.
- help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity.
- contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals.
- leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders.
qualifications:
*who are we looking for?*
*experience*
- 5+ years of technology work experience in a global organization, preferably in cpg or a similar industry.
- 5+ years of experience in the data & analytics field, with exposure to ai/ml operations and cloud-based platforms.
- 5+ years of experience working within cross-functio