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Mondelēz Consumer Solutions Global MDS (IT) Team is looking for an energetic and experienced candidate with strong AI infrastructure skills to join us during an exciting time of transformation. The GenAI Ops Engineer will be responsible for the reliable and efficient operation of Generative AI pipelines that power our Marketing Creative Agentic platform.This role involves Hands-On technical expertise as well as managing the end-to-end lifecycle of GenAI models (text, image, and in the future video), ensuring scalability, performance, and cost-effectiveness. The engineer will also play a key role in shaping the future of agentic architectures, working with emerging frameworks such as Google’s Agent2Agent (with ADK) and LangGraph, as we evolve our platform toward more intelligent, modular, and autonomous capabilities.The GenAI Ops Tech Engineer will work across MDS (IT) internal and external teams, collaborate with technology partners, and engage with business stakeholders. A strong foundation in AI, ML, and Cloud technologies will be essential for guiding both the current platform operations and future innovations.How you will contributeKey Responsibilities:<ul><li>Model Deployment and Management: Deploy, monitor, and maintain generative models (including LLMs and image generators) in a production environment, ensuring high availability and optimal performance.</li><li>Model Comparison &amp; Selection: Evaluate and compare various GenAI models based on accuracy, latency, cost, and relevance to specific content generation tasks.</li><li>Model Transformation &amp; Optimization: Apply fine-tuning, quantization, and other optimization techniques to enhance model performance and resource efficiency.</li><li>Designing, implementing, and optimizing generative AI models for various market applications, while evolving the platform with newer GenAI frameworks, agents, models.</li><li>Infrastructure Management: Design and manage the infrastructure supporting GenAI workloads, including compute, networking, and storage, primarily on GCP.</li><li>Performance Monitoring and&nbsp;Optimization:&nbsp;Implement&nbsp;robust monitoring and alerting systems to identify and address performance bottlenecks, latency issues, and other anomalies.</li><li>Cost&nbsp;Management:&nbsp;Optimize&nbsp;resource utilization and implement cost-saving measures to minimize the operational expenses associated with LLM infrastructure.</li><li>Agentic Framework Support: Experience of integration of agentic workflows using frameworks such as LangGraph and Google’s Agent2Agent (ADK), MCP, and support their deployment into production environments.</li><li>Collaboration: Work closely with data scientists, ML engineers, and platform teams to ensure seamless end-to-end delivery of GenAI solutions.</li><li>Security and&nbsp;Compliance:&nbsp;Implement&nbsp;security best practices to protect LLM infrastructure and data from unauthorized access and ensure compliance with relevant regulations.</li><li>Troubleshooting and Support: Act as a primary responder for GenAI-related operational issues, providing timely troubleshooting and resolution</li><li>Staying Current: Stay informed on advancements in GenAI and agentic systems, and proactively identify opportunities for innovation and process improvement.</li><li>Direct interactions with Architecture,&nbsp;Application/Platform,&nbsp;and Technical Product teams to guide technology selections.</li></ul>What you will bringRequired Skills:<ul><li>Proficient in Google Cloud Platform (GCP) services, particularly Vertex AI, BigQuery, GKE, Cloud Run, and Cloud Functions.</li><li>Experience deploying and optimizing LLMs, image generation models, or other GenAI models in cloud environments..</li><li>Experience with evolving technologies like MCP and A2A — and the ability to apply them in a business and marketing context</li><li>Ability to design and implement scalable AI computing infrastructures and application stacks for efficient ML operations</li><li>Familiarity with emerging agentic architectures, including LangGraph, Agent2Agent (ADK), or similar frameworks.</li><li>Understanding of the technical aspects of RAG models, how to retrieve relevant information from knowledge bases and integrate it with LLM output, including their training process and how retrieved information is used to enhance generation</li><li>Working knowledge of NLP, computer vision, and multimodal AI model operations..Model Transformation&nbsp;Techniques:&nbsp;Experience&nbsp;with techniques like quantization, pruning, and knowledge distillation for optimizing LLMs.</li><li>Familiarity with ML frameworks such as Transformers, PyTorch, or TensorFlow</li><li>Containerization and&nbsp;Orchestration:&nbsp;Proficiency&nbsp;in containerization technologies (e.g., Docker, Kubernetes) and orchestration tools.</li><li>Hands-on experience with monitoring and logging solutions, including open-source tools (e.g., Prometheus, Grafana, ELK stack) and cloud-native platforms such as Google Cloud Logging and Cloud Monitoring.</li><li>Automation:&nbsp;Strong&nbsp;scripting and automation skills (e.g., Python, Bash).</li><li>Knowledge of security best practices in cloud and AI infrastructure.</li><li>Excellent communication skills, capable of articulating technical visions and strategies to a diverse audience, fostering cross-functional collaboration and consensus.</li><li>Eager to embrace new technologies, methodologies, and industry developments, with a commitment to lifelong learning and professional growth.</li><li>Evaluation of ML and LLM models, required</li></ul>No Relocation support availableBusiness Unit SummaryAt Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.We have a rich portfolio of strong brands globally and locally including many household names such as&nbsp;Oreo,&nbsp;belVita&nbsp;and&nbsp;LU&nbsp;biscuits;&nbsp;Cadbury Dairy Milk,&nbsp;Milka&nbsp;and&nbsp;Toblerone&nbsp;chocolate;&nbsp;Sour Patch Kids&nbsp;candy and&nbsp;Trident&nbsp;gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.Our 80,000 makers and bakers are located in more&nbsp;than&nbsp;80&nbsp;countries&nbsp;and we sell our products in&nbsp;over&nbsp;150&nbsp;countries&nbsp;around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

GenAI ML/LLM Operations Engineer

As Data &amp; Analytics Sales Product Manager, you'll be responsible for enabling and evolving analytical business intelligence products for Sales Execution to support key business decisions, drive business improvements and deliver business value. Identify opportunities to leverage advanced analytics in the area of responsibility to support Sales digitization.&nbsp;How you will contributeYou will:&nbsp;<ul><li>Engage with and consult business stakeholders on analytical products to business problems, create user journeys.</li><li>Propose state-of-the-art solutions which fit into the overall Data and Analytics strategy, roadmap and solutions architecture</li><li>Lead product solution designensuringproduct management best practices (technical framework : coding standards, devops practices, technical handbooks , service operation guidelines )</li><li>Lead a product oriented delivery model consisting of product continuous improvement team, data scientist, data architects and engineers</li><li>Drive the implementation and adoption of analytical product end-to-end and accountable for their success over the product life cycle. Create OKR's, scorecards, playbooks.</li><li>Identify opportunities for agile analytics approaches andfor "Proof of Value" implementations</li><li>Create product roadmaps with lead markets and drive alignment across all to create a feature backlog. Also create backlog to reduce technical debt.</li></ul>​What you will bringA desire to drive your future and accelerate your career and the following experience and knowledge:<ul><li>8+ years of IT/IT facing and business/industry work experience, with experience in managing cross-functional teams or projects. Deep experience of sales execution processes required.</li><li>Minimum of 8 years of analytics experience, as well as data domains, data products and traditional business intelligence experience, within IT or business function</li><li>Technical experience desired : Power BI Management &amp; Models design, GCP technologies , ETLs (Talend), Agile Methodology, Devops framework. Others: Databricks, Python , Power Apps, Confluence&nbsp;</li></ul>No Relocation support availableBusiness Unit SummaryAt Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.We have a rich portfolio of strong brands globally and locally including many household names such as&nbsp;Oreo,&nbsp;belVita&nbsp;and&nbsp;LU&nbsp;biscuits;&nbsp;Cadbury Dairy Milk,&nbsp;Milka&nbsp;and&nbsp;Toblerone&nbsp;chocolate;&nbsp;Sour Patch Kids&nbsp;candy and&nbsp;Trident&nbsp;gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.Our 80,000 makers and bakers are located in more&nbsp;than&nbsp;80&nbsp;countries&nbsp;and we sell our products in&nbsp;over&nbsp;150&nbsp;countries&nbsp;around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Data & Analytics Sales Product Manager, Business Analytics

You work&nbsp;in the&nbsp;Cybersecurity Response Center at MDLZ&nbsp;as a Senior Information&nbsp;Security and compliance specialist.How you will contributeAs a Senior Incident Response&nbsp;Analyst&nbsp;you will play a vital role in strengthening&nbsp;MDLZ&nbsp;security measures. You will investigateand respond to security incidents, collaborate with cross-functional teams, and drive resolution to complex cybersecurity issues within our environment. Your&nbsp;expertise&nbsp;will contribute robust Incident Response techniques, processes, and capabilities.What you will bring<ul><li>Take ownership of enhancing our security posture and protecting MDLZ infrastructure.</li><li>Collaborate closely with multiple teams at MDLZ.</li><li>Capable of communicating necessary details to both technical and nontechnical stakeholders.&nbsp;</li><li>Coordinate with relevant incident management teams during incidents</li><li>A passion and drive to continuously learn and enhance your skills</li><li>Coach and mentor analysts to encourage overall professional growth&nbsp;</li><li>Provide technical training sessions to other MDLZ Global teams&nbsp;</li><li>Promptly response to security incidents, following established incident response procedures.</li><li>Document and track incidents, providing updates to relevant stakeholders.</li><li>Review and refine incident management procedures</li><li>Adept at technical writing</li></ul>What you need to know about this position:<ul><li>Global Cybersecurity Incident Response Team with a rotational on-call schedule</li><li>Monitor computer networks for security issues.</li><li>Perform Threat Analysis on events reported by Security Tools.</li><li>Investigate security breaches and other cybersecurity incidents.</li><li>Perform lesson learned / alert review.</li><li>Provide Status Report and relevant metrics to&nbsp;relevant stakeholders.</li><li>Participate in special projects as needed</li></ul>Education / Certifications:<ul><li>Bachelor’s Degree in Information Technology, Cybersecurity, Computer Science or similar</li><li>Professional certifications such as Security+,&nbsp;CySA+,&nbsp;GCIH, CISSP</li></ul>Job specific requirements:<ul><li>6-8years&nbsp;of&nbsp;experience&nbsp;in&nbsp;Information Security,&nbsp;Senior or Lead SOC Analyst with Incident Response experience.</li><li>Knowledge/Experience on: SIEM (ie&nbsp;Splunk,&nbsp;Humio), SOAR (ieCyware, Phanton), Endpoint Security (EDR) (ieCarbonBlack,&nbsp;Crowdstrike), Email Security (ie.&nbsp;Proofpoint, O365 ATP), Firewalls, WAF, IDS/IPS, Web Content Filtering, Proxies, Database, Data Loss Prevention (DLP), Identity and Access Management (IAM), Cloud Computing Services, Scripting, MITRE ATT&amp;CK Framework and Incident Response.</li></ul>

Senior Incident Response Analyst

You will be crucial in supporting our business by&nbsp;leading a team of data scientists, supporting them in&nbsp;applying the best analytical methods&nbsp;to improve the statistical forecast and overcome business challenges.&nbsp;You will work with various stakeholders to&nbsp;determine&nbsp;how to use business data for business solutions/insights. About the roleIn this role you will:<ul><li>Build and&nbsp;develop&nbsp;a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.&nbsp;</li><li>Mentor and coach team members to unlock their full potential&nbsp;by&nbsp;ensuring a supportive and inclusive work environment.&nbsp;</li><li>Support the team in analyzing and deriving&nbsp;value from data&nbsp;using&nbsp;application methods such as&nbsp;statistics, time series modelling, machine learning and&nbsp;data visualization. </li><li>Help the team&nbsp;determine,&nbsp;create&nbsp;and&nbsp;maintain&nbsp;the best&nbsp;time series / machine learning&nbsp;models be to use,&nbsp;taking into accountSKU demand behavior using segmentation strategies, to generate high quality&nbsp;statistical&nbsp;demand forecast with low forecast error and bias.</li><li>Partner&nbsp;with&nbsp;Demand Planning teams&nbsp;in markets&nbsp;to understand business challenges, create valuable,&nbsp;actionable&nbsp;data&nbsp;insights, and communicate findings to the&nbsp;business.</li><li>Collaborate with stakeholders&nbsp;toidentify&nbsp;and clarify business or&nbsp;technical&nbsp;questions&nbsp;that need to be answered. Provide feedback to translate and refine business questions into&nbsp;actions.</li></ul> The experience we are looking for:<ul><li>A desire to drive your future and accelerate your career and the following experience and knowledge:</li><li>Proven leadership and people management skills, with at least&nbsp;3&nbsp;years of experience building and developing high-performing teams.</li><li>5+&nbsp;years of experience in data science, preferably&nbsp;with a&nbsp;focuson&nbsp;time series forecasting,FMCG, Food &amp; Beverages,&nbsp;Retail&nbsp;or similar industries&nbsp;with a&nbsp;proven&nbsp;track record&nbsp;of delivering&nbsp;effective&nbsp;business solutions.</li><li>Experience in application of ML concepts and methodologies (particularlytime series modeling, but also&nbsp;regression,&nbsp;classification, feature engineering and selectionetc.)</li><li>Proficiency&nbsp;in&nbsp;SAS,&nbsp;SQL,&nbsp;Python,and other programming languages to communicate effectively with technical teams.&nbsp;</li><li>Excellent communication and presentation skills,&nbsp;ability to&nbsp;explaincomplex&nbsp;analytical&nbsp;topics to both technical and non-technical stakeholders.</li><li>Advanced English</li></ul> What we offer<ul><li>Exciting work in a multi-cultural team of bright minds.</li><li>Global career opportunities.</li><li>Flexible remote work options, or – if you prefer – access to&nbsp;one of our&nbsp;modern offices.</li><li>All kinds of benefits&nbsp;depending on the location.</li></ul>

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