Gen AI ML/LLM Ops Manager
Gen AI ML/LLM Ops Manager
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Job Description
Job Description
Are You Ready to Make It Happen at Mondelz International
Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.
Mondelz 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 managing the endtoend lifecycle of GenAI models (text image and in the future video) ensuring scalability performance and costeffectiveness. The engineer will also play a key role in shaping the future of agentic architectures working with emerging frameworks such as Googles Agent2Agent (with ADK) and LangGraph as we evolve our platform toward more intelligent modular and autonomous capabilities.
The GenAI Ops 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 contribute
Key Responsibilities:
- 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.
- Model Comparison & Selection: Evaluate and compare various GenAI models based on accuracy latency cost and relevance to specific content generation tasks.
- Model Transformation & Optimization: Apply finetuning quantization and other optimization techniques to enhance model performance and resource efficiency.
- Designing implementing and optimizing generative AI models for various market applications while evolving the platform with newer GenAI frameworks agents models.
- Infrastructure Management: Design and manage the infrastructure supporting GenAI workloads including compute networking and storage primarily on GCP.
- Performance Monitoring and Optimization:Implement robust monitoring and alerting systems to identify and address performance bottlenecks latency issues and other anomalies.
- Cost Management:Optimize resource utilization and implement costsaving measures to minimize the operational expenses associated with LLM infrastructure.
- Agentic Framework Support: Experience of integration of agentic workflows using frameworks such as LangGraph and Googles Agent2Agent (ADK) MCP and support their deployment into production environments.
- Collaboration: Work closely with data scientists ML engineers and platform teams to ensure seamless endtoend delivery of GenAI solutions.
- Security and Compliance:Implement security best practices to protect LLM infrastructure and data from unauthorized access and ensure compliance with relevant regulations.
- Troubleshooting and Support: Act as a primary responder for GenAIrelated operational issues providing timely troubleshooting and resolution
- Staying Current: Stay informed on advancements in GenAI and agentic systems and proactively identify opportunities for innovation and process improvement.
- Direct interactions with Architecture Application/Platform and Technical Product teams to guide technology selections.
What you will bring
Required Skills:
- Proficient in Google Cloud Platform (GCP) services particularly Vertex AI BigQuery GKE Cloud Run and Cloud Functions.
- Experience deploying and optimizing LLMs image generation models or other GenAI models in cloud environments..
- Experience with evolving technologies like MCP and A2A and the ability to apply them in a business and marketing context
- Ability to design and implement scalable AI computing infrastructures and application stacks for efficient ML operations
- Familiarity with emerging agentic architectures including LangGraph Agent2Agent (ADK) or similar frameworks.
- 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
- Working knowledge of NLP computer vision and multimodal AI model operations..
Model Transformation Techniques:Experience with techniques like quantization pruning and knowledge distillation for optimizing LLMs. - Familiarity with ML frameworks such as Transformers PyTorch or TensorFlow..
- Containerization and Orchestration:Proficiency in containerization technologies (e.g. Docker Kubernetes) and orchestration tools.
- Handson experience with monitoring and logging solutions including opensource tools (e.g. Prometheus Grafana ELK stack) and cloudnative platforms such as Google Cloud Logging and Cloud Monitoring.
- Automation:Strong scripting and automation skills (e.g. Python Bash).
- Knowledge of security best practices in cloud and AI infrastructure.
- Excellent communication skills capable of articulating technical visions and strategies to a diverse audience fostering crossfunctional collaboration and consensus.
- Eager to embrace new technologies methodologies and industry developments with a commitment to lifelong learning and professional growth.
- Evaluation of ML and LLM models required
- (Nice to have) Advanced skills in data integration techniques ETL processes and familiarity with APIs and web services for connecting disparate data sources in a secure and efficient manner
Business Unit Summary
At Mondelz 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 highquality snacks that nourish lifes 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 Oreo belVita and LU biscuits; Cadbury Dairy Milk Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits chocolate and candy and the second top position in gum.
Our 80000 makers and bakers are located in more than80countries and we sell our products in over150countries 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 happenand happen fast.
Mondelz 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.
Job Type
RegularSoftware & ApplicationsTechnology & DigitalRequired Experience:
Manager
Employment Type
Full-Time
