Ai/ml application developer

3 weeks ago

Mumbai, India Antal TECH Jobs Full time
About the role:
We are seeking highly skilled and motivated AI/Gen AI Full Stack Optimization & Software Developer to join our innovative AI/Gen AI Center of Excellence Data & Analytics, Data Science team at our client office in Mumbai. This role will have end-to-end visibility on our Data Science practice and understand all aspect of an AI/Gen AI/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/Gen AI products. This position offers a unique opportunity to collaborate with cross-functional teams, drive business value, and shape the future of our AI/Gen AI Center of Excellence practices.
Responsibilities: Must have skills
1. 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/Gen AI 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 Java Script.
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 D4 GV Platform team for activation and optimization.
Lead and consult AI/Gen AI 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/Gen AI 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, Co P, and Business teams.
Nice to have skills:-
1. 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.
Requirements:
Bachelors 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 Data Bricks and experience with other programming languages like Python, Py Spark, 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 No SQL 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 Java Script.
Proficiency in Java Script 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.
Experience working with RESTful APIs and handle asynchronous programming for smooth communication with backend systems, integration layer, services, data processing.
Awareness of visualization libraries (D3.js, Posit Connect, Plotly, Streamlit, Shiny, power BI, Tableau, etc.).
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/Gen AI 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.

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