AI/ML Engineer · Bengaluru
Salesforce, Inc. · Salesforce, Inc.
Explore more opportunities at Salesforce, Inc.. See all open roles.
Job highlights
Designation Offered
AI/ML Engineer
Job Role
Machine Learning Engineer
Department
Manufacturing and Engineering
Job Type
Fulltime
Salary
18.00Lacs
Experience
3–6 years
Job Location
Bengaluru
Education
Bachelors/Undergraduate Degree
Posted by
Salesforce, Inc.
Posted On
12 May 2026
Valid until
11 Jul 2026
Skillset required
Job Description for AI/ML Engineer
A role-focused description with responsibilities, expectations, and qualifications for this opening.
Role Description
Join the Agentic AI team at Salesforce working on Data Management and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight.
- Collaborate with Data Scientists and Software Engineers.
- Design and implement AI solutions.
- Analyze data to drive business insights.
- Develop machine learning models.
- Communicate findings to stakeholders.
- Participate in code reviews and design discussions.
- Stay updated with industry trends in AI/ML.
- Contribute to project planning and execution.
- Mentor junior engineers.
- Document technical specifications and processes.
About this opening
Salesforce, Inc. is hiring a Machine Learning Engineer in the Manufacturing and Engineering team based in Bengaluru.
This role is fulltime, flexible, 3–6 years experience, ₹12 lakh–₹18 lakh per year—matched against UnoJobs' verified employer data.
Skills evaluated for this opening include Machine Learning, Technical Skills, AI/ML, CRM, Salesforce. Apply directly through UnoJobs to keep your application visible to Salesforce, Inc. without bouncing across multiple sites.
- Role
- Machine Learning Engineer
- Department
- Manufacturing and Engineering
- Location
- Bengaluru
- Work mode
- Flexible
- Experience
- 3–6 years
- Compensation
- ₹12 lakh–₹18 lakh per year
Explore similar searches
Use these category pages to compare nearby roles, cities, and salary benchmarks before you apply.