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based on 2.8k Reviews

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248 PepsiCo Jobs

Associate Manager, D&AI AIOps, MLOps Operations, IBP

PEPSICO GLOBAL BUSINESS SERVICES INDIA LLP

 · 

4.0

 based on 2.8k Reviews

5-10 years

₹ 11L/yr - 21L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Hyderabad / Secunderabad

Associate Manager, D&AI AIOps, MLOps Operations, IBP

PepsiCo

posted 4 days ago

Job Role Insights

Flexible timing

Key skills for the job

AWS Artificial Intelligence Machine Learning Azure DevOps Operations Management Risk Management

+ 10 more

Job Description

 Overview 

  • We are seeking a skilled Associate Manager AIOps & MLOps Operations 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 (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.

    •  Responsibilities 

  • 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 

  • 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-functional IT or data operations teams.
  • 2+ years of experience in a leadership or team coordination role within an operational or support environment.
  • Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP.
  • Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence.
  • Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution.
  • Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction.
  • Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment.
  • Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability.
  • Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies.
  • Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration.
  • Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks.
  • Strong understanding of data acquisition, data catalogs, data standards, and data management tools.
  • Knowledge of master data management concepts, data governance, and analytics.

    • Employment Type: Full Time, Permanent

    Read full job description

    PepsiCo Associate Manager Interview Questions

    An Associate Manager was asked
    10mo ago
    Q. How do you resolve conflicts with stakeholders?
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    An Associate Manager was asked
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    An Associate Manager was asked
    10mo ago
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    What people at PepsiCo are saying

    3.7
    Rating based on 77 Associate Manager reviews

    Likes

    Flexibility, WFH, perks, bonus, gifts, outings, job security

    • Skill development - Excellent
      • +3 more
    Dislikes

    Work pressure, timings, manager (who don't support team at all), time taken to promote.

    • Promotions - Poor
    Read 77 Associate Manager reviews

    Associate Manager salary at PepsiCo

    reported by 813 employees with 3-12 years exp.
    ₹13.3 L/yr - ₹23 L/yr
    9% more than the average Associate Manager Salary in India
    View more details

    What PepsiCo employees are saying about work life

    based on 2.8k employees
    66%
    49%
    39%
    97%
    Flexible timing
    Monday to Saturday
    Within city
    Day Shift
    View more insights

    PepsiCo Benefits

    Submitted by Company
    Health and insurance benefits
    Work/life benefits
    Well-being
    Retirement benefits
    Submitted by Employees
    Job Training
    Health Insurance
    Free Transport
    Soft Skill Training
    Team Outings
    Cafeteria +6 more
    View more benefits

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