Software Engineering SMTS - Tableau Cloud

Salesforce; Bengaluru; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Salesforce is seeking a skilled ML engineer in Bengaluru to design and deliver scalable generative AI services that integrate with multiple applications and tenants. The role emphasizes automation, capacity planning, performance tuning, and on-call readiness to ensure production reliability.

You will collaborate with Product Managers, Architects, Data Scientists, and Deep Learning researchers to translate customer requirements into production-ready AI capabilities while aligning with

Qualifications

• 4+ years of ML engineering experience building AI systems or services.
• Experience designing and building distributed microservices on AWS, GCP or other public clouds.
• Experience with containerized deployment stacks using Kubernetes, Spinnaker, and related technologies.
• Proven ability to deliver results via innovation at large scale.
• Experience with distributed, scalable systems and data storage, messaging and processing frameworks.
• Strong ownership, collaboration and leadership.

Responsibilities

• Design and deliver scalable generative AI services integrated across applications and tenants.
• Drive system efficiency via automation, capacity planning, configuration management, performance tuning, monitoring and root cause analysis.
• Participate in on-call rotations for critical issues.
• Collaborate with Product Managers, Architects, Data Scientists, and DL Researchers to translate requirements into production-ready solutions.

Skills

ML engineering

Distributed microservices

Cloud deployment

Kubernetes

MLOps / ML Infra

Data processing pipelines

Team collaboration

On-call rotations

Tools

AWS

GCP

Kafka

Spark

Docker

Hadoop

Spinnaker

Job description

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Roles and Responsibilities

• Design and deliver scalable generative AI services that can be integrated with many applications, thousands of tenants, and run at scale in production.
• Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring and root cause analysis.
• Participate in periodic on-call rotations and be available for critical issues.
• Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production.

Desired Skills and Experience

Required Skills

• 4+ years of industry experience of ML engineering in building AI systems and/or services.
• Experience designing and building distributed microservices on AWS, GCP or other public cloud substrates.
• Experience using modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
• Proven ability to implement, operate, and deliver results via innovation at large scale.
• Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc.
• Grit, drive and a strong feeling of ownership coupled with collaboration and leadership.

Preferred Skills

• Fantastic problem solver; ability to solve problems that the world has not solved before.
• Excellent written and spoken communication skills.
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.
• Understanding of MLOps/ML Infra workflows, processes and ML components.
• Strong experience building and applying machine learning models for business applications.
• Working or academic knowledge with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies.

Team Description

Einstein products & platform democratizes AI and transforms the way our Salesforce Ohana builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

We note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.