16 Aug
|
PepsiCo
|
Hyderabad
Overview
Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.
You will be part of a cooperative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.
Responsibilities
- Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
- Active contributor to code & development in projects and services
- Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
- Partner with ML engineers working on industrialization.
- Communicate with business stakeholders in the process of service design, training and knowledge transfer.
- Support large-scale experimentation and build data-driven models.
- Refine requirements into modelling problems.
- Influence product teams through data-based recommendations.
- Research in state-of-the-art methodologies.
- Create documentation for learnings and knowledge transfer.
- Create reusable packages or libraries.
- Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
- Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
- Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
- Automate ML models deployments
Quali
📌 Deputy Manager (Hyderabad)
🏢 PepsiCo
📍 Hyderabad