AIOps, MLOps Operations Associate Manager (IBP)

PepsiCo Deutschland GmbH; Distrito Federal; Presencial; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

Join a leading company as an AIOps, MLOps Operations Associate Manager, where you'll enhance automation and reliability of AI/ML operations. This role involves deploying AI/ML models, ensuring continuous monitoring, and collaborating with cross-functional teams to drive operational excellence. You'll work with cloud platforms like Azure and AWS, contributing to innovative Data & Analytics solutions while supporting a diverse and inclusive work environment.

Serviços

Opportunities for daily learning and development

Flexible work arrangements

Recognition programs for various achievements

Financial wellness programs

Qualificações

• 5+ years of technology experience in a global organization.
• Strong understanding of AIOps and MLOps lifecycle.
• Proficiency in cloud platforms for AI/ML workloads.

Responsabilidades

• Support and enhance automation of AI/ML operations.
• Collaborate with teams to develop next-gen Data & Analytics platforms.
• Track and report AI/ML operational KPIs.

Conhecimentos

Communication

Problem Ownership

Growth Mindset

Operational Excellence

Cross-Functional Collaboration

Ferramentas

Azure

AWS

GCP

MLflow

Kubeflow

Docker

Kubernetes

Jenkins

GitLab

Prometheus

Grafana

Descrição da oferta de emprego

Overview

We Are PepsiCo

Join PepsiCo and Dare for Better! We are the perfect place for curious people, thinkers, and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place.

Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries.

Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade, and Sonrics, has been a part of Mexican homes for more than 116 years.

A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.

Know more: PepsiCoJobs

Join PepsiCo, dare for better.

Responsibilities

The Opportunity

• We are seeking a skilled AIOps, MLOps Operations Associate Manager (IBP) to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights.
• 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 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 AIOps, MLOps Operations Associate Manager (IBP), your scope would include:

• 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 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 stakeholder trust.

Qualifications

Who Are We Looking For?

Required:

• 5+ years of technology experience in a global organization, preferably in CPG or a similar industry.
• 5+ years of experience in Data & Analytics, with exposure to AI/ML operations and cloud platforms.
• 5+ years working within cross-functional IT or data operations teams.
• Strong understanding of AIOps and MLOps lifecycle, from model development to deployment and monitoring.
• Proficiency in cloud platforms (AWS, Azure, GCP) for AI/ML workloads, including services like Azure ML, AWS SageMaker, or Google AI Platform.
• Experience in model deployment (MLflow, Kubeflow) and monitoring tools (Prometheus, Grafana).
• Strong background in automating pipelines using CI/CD tools (Jenkins, GitLab) and container orchestration (Docker, Kubernetes).

Nice to have:

• Experience with drift detection tools (Evidently.ai, Alibi Detect).
• Exposure to multi-cloud environments (Azure, AWS, GCP).
• Leadership or team coordination experience in operational/support environments.

Soft skills:

• Excellent communication, customer-centric, problem ownership, growth mindset, operational excellence, site reliability & automation, and cross-functional collaboration.

If interested, apply even if not meeting all requirements.

What can you expect from us:

• Opportunities for daily learning and development.
• Internal digital platforms for self-learning.
• Leadership skills development programs.
• Specialized training for roles.
• Learning experiences with internal and external providers.
• Recognition programs for various achievements.
• Financial wellness programs.
• Flexible work arrangements.
• Benefits for family, including wellness, discounts, scholarships, and aid programs.

We are an equal opportunity employer and value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We respect and value diversity as a source of innovation.