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Salary

Not Disclosed

Location

Banglore

Highlights

Develop ML models, deploy cloud-native architectures, build web applications, integrate APIs, containerize services.

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Description

At FedEx, the Pricing Data Science team is at the forefront of advancing pricing strategy and revenue optimization. As an AI/ML Engineer, you will be responsible for developing, deploying, and scaling machine learning models in cloud environments such as Azure and GCP. This role requires a deep understanding of end-to-end model development, from design to production deployment, with a focus on scalable and secure systems. You’ll work closely with data scientists and business stakeholders to translate complex problems into innovative AI solutions.

Key responsibilities include:

• Ai / Machine Learning: Design and optimize machine learning models for pricing, forecasting, and revenue optimization.
• Cloud & Infrastructure: Architect and deploy ML solutions in Azure and GCP using services like Azure ML, Databricks, Synapse, AKS, GCP Vertex AI, BigQuery, GKE.
• Application Development: Develop web-based AI applications using React.js or other modern front-end frameworks, and backend frameworks such as Python (FastAPI, Flask), Node.js.
• Containerization & DevOps: Containerize applications and ML services with Docker, deploy and manage workloads in Kubernetes, implement monitoring and observability tools.

We are looking for a highly skilled engineer who is passionate about building robust AI/ML systems that deliver real-world business impact. If you have a strong background in machine learning, cloud engineering, and application development, we want to hear from you!

Skills

Python Azure/GCP React.js Kubernetes ML-Pipelines