AI/ML Full Stack (Front-End/Back-End) Software Developer

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
How you will contribute
You will:

• Work in close partnership with the business leadership team to execute the analytics agenda
• Identify and incubate best-in-class external partners to drive delivery on strategic projects
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:

• Using data analysis to make recommendations to senior leaders
• Technical experience in roles in best-in-class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts

About The Role:-
We are seeking highly skilled and motivated AI/GenAI Full Stack Optimization & Software Developer to join our innovative AI/GenAI Center of Excellence Data & Analytics, Data Science team at Mondelez International. This role will have end-to-end visibility on our Data Science practice and understand all aspect of an AI/GenAI/ML solution: from business requirements, infrastructure, implementation & operations. This role is expected to work with project teams directly and coordinate with other MDS and Data Science groups to successfully deliver Data Science use-cases. In this role, you will play a pivotal role in planning, developing, and optimizing the UI/back-end of our AI/GenAI products. This position offers a unique opportunity to collaborate with cross-functional teams, drive business value, and shape the future of our AI/GenAI Center of Excellence practices.
Responsibilities:
Architecture Set-Up and Review:

• Provide end to end DS solution architecture guidance: What technical architecture for what type of model and solution.
• Technical Architecture leadership: recommend what cluster, tool, solution, is best to fulfil a business problem (Databricks, Vertex AI, Azure AI, GCP, React, Python/R/Scala, etc.)
• Ensure compliance with Enterprise Architecture Guidelines & process.
• Owns the onboarding protocols, documents.

Front-end & back-end development:

• Being a part of a team of Full Stack development team, that bring functional & Technical excellence together to ensure Data Science use-cases are set-up right with right technology and delivered in the most efficient manner, in term of performance, cost & accuracy.
• Ensures the establishment of AI/ML/GenAI Apps user interface and its back end are accommodated with the with optimal performance, efficiency, and cost-effectiveness to is to ensure that the application is accessible, visually appealing, and easy to use for end users.
• Translates design mockups into functional web or mobile applications using HTML, CSS, and JavaScript.
• Processes that need caching in case if there are too many user requests to improve the interaction with user and avoid waiting for response more than 2 sec (caching allows fraction of sec) to transfer response to UI. Work with frameworks like React, Angular, or Vue.js to enhance interactivity.
• Do usability testing and refining the application based on user feedback to improve performance and user satisfaction.
• Govern backend cloud ML/AI Apps architecture and provide support to the Mondelez Data Science/AI/MLOps team.
• Implement gateways as rate limiters to control request rates per second, preventing system overload.
• Create robust APIs that allow the front-end to interact seamlessly with the server-side logic and AI functionalities.
• Developing the logic that handles user requests, processes them, and returns the necessary responses. This often involves talking to different AI models and handling complex logic.
• Conduct research, evaluation, and optimization of software architecture components for cloud-based platforms.
• Optimize existing solutions and facilitate the onboarding of new solutions.
• Support AI production applications and ensure compliance with Enterprise Architecture guidelines & processes.
• Own onboarding protocols and documentation of the implemented full tech stack.
• Collaborate with the D4GV Platform team for activation and optimization.
• Lead and consult AI/GenAI Apps product onboarding and plan/optimize platform capacity.
• Provide guidelines and schemas for required full-stack software.
• Validate Platform changes through User Acceptance Testing (UAT).
• Stay informed about new capabilities and plan for their enablement (platform innovation).
• Conduct initial assessments for AI/GenAI Apps Self-Service requests in synergy with DS/MLOps teams.
• Identify key metrics for business use cases and showcase the value of AI solutions.
• Act as a consultant for the implementation of DS/AI Web Apps products.
• Collaborate with Platform, Cloud, Architecture, Data Science, MLOps, CoP, and Business teams.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, MLOps Engineering, or related field and at least 4 years of industry experience. Advanced degree (Master's or Ph.D.) is preferred.
• Over 10 years of professional experience in Software Architecture, Full Stack Development, and Machine Learning/MLOps. Experience with building Apps.
• Has strong proficiency in DataBricks and experience with other programming languages like Python, PySpark, SQL, etc.
• Experience working with modern web services architectures and cloud platforms, particularly Azure, GCP, and AWS clouds.
• Has knowledge of data engineering using frameworks such as Spark, distributed SQL, and NoSQL query engines.
• Has experience in setting up the analytical data set using ETL tools or Programming languages. for advanced analytics models.
• Proven experience as a Full-Stack Developer, with expertise in both front-end and back-end development.
• Proficiency in Java frameworks (e.g., Spring Boot, Quarkus, Hibernate, or Mulesoft, etc.).
• Proficiency in languages HTML, CSS, and JavaScript.
• Proficiency in JavaScript frameworks (React, Angular, or Vue.js).
• Some knowledge of Databricks, Python, Spark, Scala, SQL, C++, and Java.
• Experience with visualization libraries and CI/CD pipelines.
• Knowledge of containerization and deployment technologies such as Docker and Kubernetes.
• Familiarity with Agile project management principles and experience working in fast-paced environments.
• Experience working with RESTful APIs and handle asynchronous programming for smooth communication with backend systems, integration layer, services, data processing.
• Experience working with Quality Assurance (QA) team. Understanding testing activities, knowing the history of testing throughout the CI/CD cycle, and understanding frameworks/environments led by QA.
• Awareness of visualization libraries (D3.js, Posit Connect, Plotly, Streamlit, Shiny, PowerBI, Tableau, etc.).
• Capability to prioritize and identify critical areas for analysis and optimization impact.
• Excellent communication, collaboration, and problem-solving skills.
• A self-motivated individual with adaptability for both team-based and independent work, possessing strong organizational, detail-oriented, and problem-solving skills, capable of thriving in a fast-paced environment with limited supervision, and demonstrating effective communication and teamwork abilities.
• Familiarity with Agile project management principles.
• Passion for building reliable, stable, callable, and fast data products that meet customer needs.

Relevant Certifications are advantageous:

• Certifications in full-stack software development, system engineering, software architecture solutions frameworks, Information Systems Security Certificates. MLOps, and Machine Learning certificates are advantageous.

This is an excellent opportunity for the AI Apps Full Stack Software Developer to advance their career by working with cutting-edge technologies and driving business value. If you are passionate about leading AI/GenAI Apps optimization initiatives and have a proven track record in software architecture, we invite you to join our forward-thinking team at Mondelez International. Apply now to shape the future of our Data Science practices.
No Relocation support available, however for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
Business Unit Summary
At 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 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 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries 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.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science