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This role involves 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 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 Optimization:&nbsp;Implement robust monitoring and alerting systems to identify and address performance bottlenecks, latency issues, and other anomalies.</li><li>Cost Management:&nbsp;Optimize 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 Compliance:&nbsp;Implement 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, Application/Platform, 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 Techniques:&nbsp;Experience 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 Orchestration:&nbsp;Proficiency 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 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><li>(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</li></ul>

Gen AI ML/LLM Ops Manager 137324

You plan, develop and execute capital projects by supporting technical developments, feasibility perspectives of engineering-related activities in supply chain and capital expense project execution to support growth, world-class manufacturing and productivity with the highest levels of quality, safety and environmental requirements. You will follow Mondelēz business and innovation processes in project management and ensure that Mondelēz standards are adhered to.How you will contributeTo ensure that accurate budgets, plans and fit-for-purpose technical solutions are delivered, you will work with key stakeholders to define and deliver the capital and technical agendas during the development phases of capital investment projects. You will develop capital budgets according to the contract and forecast cash flow, ensure that engineering developments and standards are implemented, and support the development and implementation of state-of-the art processes and equipment strategies to optimize resources, harmonize assets and rollout best practices. In this role, you will support capital project execution and will be accountable for the quality and results of the capital projects per Mondelēz standards, and our business and innovation processes in project management.What you will bringA desire to drive your future and accelerate your career. You will bring experience and knowledge in:<ul><li>Project management skills</li><li>Leading to work effectively across cross-functional teams and influencing stakeholders</li><li>Senior-level technical expertise across engineering disciplines</li></ul>

Senior Project Engineer 137116 

The successful candidate will be proficient at managing risk assessments of both third parties and internal technologies. In addition, the candidate will be performing compliance activities related to technology assurance areas around access management, vulnerability management and configuration management. Candidate will also demonstrate ability and experience in governance related activities including administrative management of risk and control registers as well as policies and standards.How you will contributeRisk Management Responsibilities<ul><li>Execute risk assessment testing supporting the Risk Manager.</li><li>Document risk assessment results.</li><li>Support Risk Manager in drafting risk assessment reports.</li><li>Perform administrative management of risk register (additions/editions/deletions, etc).</li><li>Document risk acceptance/exemptions that have been approved per the program.</li><li>Manage quarterly/annual review of risk acceptance/exceptions.</li><li>Manage risk assessment results in relevant dashboards.</li></ul>Compliance Responsibilities<ul><li>Perform quarterly compliance assurance testing.</li><li>Document compliance testing results.</li><li>Maintain Management Action Plan (MAP) catalog with due dates.</li><li>Manage monthly audit MAPs. Includes the timely communication of open MAPs an escalation as needed of risks to completing MAPs at their agreed delivery dates.</li><li>Provide administrative support for ad-hoc external audits.</li><li>Support compliance program reporting activities.</li></ul>Requirements<ul><li>3 years in Information Security field, with at least 2 years working in GRC.</li><li>Experience with GRC tools (e.g., Archer).</li><li>Knowledge of security concepts and methodologies such as risk assessments, risk &amp; controls, policies &amp; standards, enterprise security strategies, network, and cloud security.</li><li>Knowledge of security frameworks such as CIS and NIST.</li><li>Excellent written and verbal communications skills, including presentational skills and able to clearly communicate issues to management and other key stakeholders.</li></ul>

Senior GRC Analyst 136259 

We’re looking for a motivated and detail-oriented Junior IAM Engineer to join our growing team. This role is a great opportunity for someone looking to start or grow their career in cybersecurity and identity management. You will support the design, implementation, and maintenance of IAM solutions that help ensure secure access to systems and data across the organization.How you will contribute:<ul><li>Support the configuration and maintenance of IAM tools (e.g., AD, EntraID/Azure AD, SailPoint, Ping, CyberArk, etc.)</li><li>Assist in provisioning, deprovisioning, and managing user access across systems</li><li>Collaborate with IT Security teams to troubleshoot IAM related issues</li><li>Assist with troubleshooting access issues and technical problems</li><li>Participate and assist in deployment of the internal projects</li><li>Document IAM processes and contribute to continuous improvement</li></ul>More about this role:Skills and Qualifications<ul><li>2+ years of experience in IAM</li><li>Bachelor’s degree in computer science, Information Security, or related field (or equivalent experience)</li><li>Familiarity with authentication protocols (e.g., SSO, MFA, LDAP, SAML, OAuth)</li><li>Exposure to IAM tools (SailPoint, Okta, One Identity, AD, Azure AD, SSO/MFA, etc.)</li><li>Basic understanding of security principles and familiarity with Windows, Linux, and/or Cloud platforms.</li><li>Ability to quickly learn and adapt to new technologies, tools, and systems</li><li>Strong attention to detail and willingness to learn</li><li>Self-motivation and ability to take a pro-active approach to work assignments</li><li>Good communication and teamwork skills</li><li>Fluency in English language required.</li></ul>

Junior Identity and Access Management Engineer

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>

Manager Data Science

You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.&nbsp;How you will contributeYou will:&nbsp;<ul><li>Analyze and derive value from data through the application methods such as statistics, time series modelling, machine learning and data visualization.&nbsp;&nbsp;</li><li>Determine, create and maintain the best time series / machine learning models be to be used, by considering SKU demand behavior using segmentation strategy, to generate high quality demand statistical forecast with low forecast error and bias&nbsp;</li><li>Collaborate with Demand Planners to identify right drivers and understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business.&nbsp;&nbsp;</li><li>Develop data hypotheses and methods, train and evaluate forecasting models, share insights and findings, and continue to iterate with additional data.&nbsp;&nbsp;</li></ul>What you will bringA desire to drive your future and accelerate your career and the following experience and knowledge:&nbsp;<ul><li>Experience in application of ML concepts and methodologies (especially time series modeling, but also regression, classification, feature engineering and selection etc.)&nbsp;</li><li>Knowledge/experience with statistical programming languages including SAS, SQL, etc., to process data and gain insights from it&nbsp;</li><li>Good communication skills to promote cross-team collaboration&nbsp;</li><li>Strong analytical and presentation skills&nbsp;&nbsp;</li><li>Advanced English&nbsp;&nbsp;</li></ul>Education / Experience<ul><li>Student of or a degree in quantitative field of Big data, Statistics, Econometrics, Computer Science or similar&nbsp;&nbsp;</li><li>Certificates of SAS Base, SAS Viya, etc, will be an advantage&nbsp;</li><li>Experience on working with FMCG, Food &amp; Beverages, Retail or similar industry data with understanding the business process with be advantage&nbsp;&nbsp;</li></ul>What we offer<ul><li>Exciting work in a multi-cultural team of bright minds&nbsp;</li><li>Flexible remote work options, or – if you prefer – access to a modern office&nbsp;</li><li>Opportunity to learn new technologies such as Python, pySpark, AWS&nbsp;</li><li>Opportunities to develop further in our Data Science community as well as in the international organization&nbsp;</li><li>All kinds of benefits depending on the location&nbsp;</li></ul>

Data Scientist/ Data Analyst 136828

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

We’re looking for a&nbsp;Cloud Engineer&nbsp;to join our growing European cloud operations team remotely from&nbsp;Greece. You will contribute to the implementation and maintenance of cloud infrastructure with a focus on automation, security, and reliability. This is an excellent opportunity for a motivated engineer looking to develop their skills in a supportive global environment without the need to relocate.How you will contribute<ul><li>Assist in deploying and managing cloud infrastructure (primarily on AWS, or GCP).</li><li>Support the adoption of Infrastructure as Code (IaC) using&nbsp;Terraform&nbsp;or similar tools.</li><li>Collaborate with senior engineers to automate deployment and monitoring processes.</li><li>Troubleshoot issues in cloud environments and contribute to root cause analysis.</li><li>Participate in an international, collaborative support rotation model (no night shifts required).</li><li>Follow best practices in cloud security, cost optimization, and performance tuning.</li></ul>What you will bringA desire to drive your future and accelerate your career. You will to have:<ul><li>Bachelor’s degree in Computer Science, IT, or a related field (or equivalent hands-on experience).</li><li>1–3 years&nbsp;of experience in cloud engineering, DevOps, or related technical roles.</li></ul>

Cloud Engineer

As a TISL, you will play a critical role in protecting digital assets, customer and consumer data, operational technology, and supply chain systems. You will provide strategic and hands-on leadership to ensure our IT and IT systems remain secure, resilient, and compliant with industry and local regulations ensuring there is a proper security level.&nbsp;What you will bringWe are looking for an individual to spearhead the design, implementation, and continuous improvement of MDLZ cybersecurity; that is capable to combine deep technical expertise with strategic leadership, driving secure digital transformation while aligning with evolving threat landscapes and compliance demands.&nbsp;<ul><li>Embed cybersecurity program into business priorities and initiatives</li><li>Support cybersecurity efforts on remediation of a cybersecurity incident</li><li>Closely collaborate with Enterprise Architects to embed security into digital transformation initiatives.</li><li>Partner with all employees and global Cybersecurity teams to ensure business continuity and eliminate any potential issue.</li><li>Ensure alignment with global security standards and local regulations.</li><li>Educate and influence business stakeholders to adopt a security-first mindset in customer engagement, product innovation, and collaboration with all involved.</li><li>Work closely with cybersecurity, enterprise architects, legal, audit, governance and compliance teams and third parties.</li><li>Ability to think long term and assess business impact, transmitting this in a clear way to key stakeholders.</li><li>Coordinate Cyber Security Projects through MEU Specific approval processes (MPAA, LRIA)</li></ul>Expertise and Qualifications<ul><li>5+ years in cybersecurity, including at least 3 in a technical leadership role.</li><li>Capable to influence C-Level executives and senior managers to create proper awareness.</li><li>Strong communications skills to convey technical and business needs in every single decision.</li><li>Understanding of risks and compliance to ensure proper risk assessment is performed.</li><li>Solid vendor management that allows to build string relations.</li><li>Ability to drive change management in a complex and continuous evolving environment.</li><li>Taker ownership of challenges and delivers high-quality results with minimal oversight.</li></ul>

Technical Information Security Lead (TISL) – MEU 137093 

You work with the information security team as a competent and experienced information security and compliance specialist.How you will contributeYou will assess information security risks in line with internal policy and external best practices, and support security of information and IT assets by testing security systems and applying security standards, policies, and procedures. Under the guidance of global information security lead, you will implement cyber security technology and provide day-to-day business support. If relevant to your role, you will manage third-party providers to ensure that any internal or third-party adhere to standards. You will also provide information security training to appropriate teams.What you will bringA desire to drive your future and accelerate your career. You will bring experience and knowledge in:<ul><li>Information security, compliance and risk management</li><li>Security solutions and their applicability to Mondelēz International</li><li>Security strategies, awareness campaigns, policies/standards and governance</li><li>Communicating effectively with technical specialists, leaders and peers</li><li>Analytical and problem-solving abilities</li><li>Being a team player by supporting and leading to achieve common goals</li></ul>More about this role

Θέσεις Εργασίας Ελλάδα, Mondelz-international, Πληροφορική

gen ai ml/llm ops manager 137324

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senior project engineer 137116

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senior grc analyst 136259

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junior identity and access management engineer

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manager data science

Mondelēz International

data scientist/ data analyst 136828

Mondelēz International

senior incident response analyst

Mondelēz International

cloud engineer

Mondelēz International

technical information security lead (tisl) – meu 137093

Mondelēz International

senior iam (cyberark) engineer 131536

Mondelēz International