Machine Learning Engineer - Senior II

What can you expect as a FedEx team member?

• Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
• Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are.  We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity.

We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities.

" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date"

Company:

INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.

City:

Bengaluru

Scheduled Weekly Hours:

48

Worker Type:

Regular

Posting Start Date

2-Jul-2026

Posting Close Date:

5-Jul-2026

Job Family:

FXE-MEISA: Machine Learning Engineer

Position Summary:

Grade - T5

Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date

What your main responsibilities are:

1. Analyze business requirements and translate them into machine learning problem statements.
2. Lead cross-functional collaboration with Data Scientists, developers, and business teams to develop innovative machine learning models.
3. Evaluate machine learning algorithms for solving specific problems and translate them into production-level code.
4. Define metrics for evaluating the performance of machine learning solutions and continuously monitor and improve their performance.
5. Collaborate with development teams to test and deploy machine learning models in real-world applications.
6. Preprocess and clean data to ensure its suitability for training machine learning models.
7. Optimize machine learning models for performance, scalability, and efficiency.
8. Stay updated on the latest advancements in machine learning techniques and contribute to research and development efforts.
9. Document machine learning models, algorithms, and processes for future reference and knowledge sharing.
10. Collaborate with product teams to understand user requirements and improve user experience through machine learning solutions.

What we are looking for

Education: Bachelor's degree in data science, applied mathematics, computer science or otherwise research-based field; Master’s degree or PhD is preferred.

Relevant work experience in machine learning  based on the following number of years:
Standard I: Two (2) years
Standard II: Three (3) years
Senior I: Four (4) years
Senior II: Five (5) years

Knowledge, Skills and Abilities
• Fluency in English
• Analytics skills
• Numerical skills
• Networking skills
• Presentation skills
• Planning & organization skills
• Statistical and Mathematical Knowledge
• Algorithm and Modelling Skills
• Programming Skills

Great Places to Work (GPTW) Certified (2025-2026)