Salesforce ML Engineering MTS / SMTS 

India, Karnataka, Bengaluru 

311749628

Job Category

Software Engineering

Job Details

Salesforce is looking for Machine Learning Engineers to build generative AI services, pipelines and components to enable the development and delivery of Einstein GPT vision. You will work on and ship impactful generative AI platform, applications and products used by millions of people every day.
full-stack developmentand building
What you’ll do:

• 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

• Develop application code through the use of established methods that meet acceptance criteria

• Develops stories, data mappings, test cases, and success criteria that inform development

• Understands and can build/deploy code through approved channels

• Tests application code through the use of established methods, these tests should all be automated and include unit tests, integration tests, functional tests, acceptance tests, performance tests, and smoke tests

Required Skills:

• Min 3 years (MTS) & Min 8 years (SMTS) years of industry experience of ML engineering in building AI system and/or services.

• Extensive programming experience as a Full-stack engineer

• Commitment to software engineering best practices – design, testing, documentation, code reviews etc

• Good knowledge of Java or similar programming languages.

• Prior experience with GenAI, chatbot, or NLP-based applications

• Experience with LLMs and prompt engineering

• Strong experience building and applying machine learning models for business applications

• Strong experience programming in Python, and using machine learning frameworks such as TensorFlow or PyTorch

• Proven ability to implement, operate, and deliver results via innovation at large scale

• Experience with distributed,scalablesystems 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:

• eveloping deep learning models with complex business use cases and big amount of unstructured data.

• Solid Machine Learning Engineering background and familiarity with state-of-the-art deep learning techniques especially for NLP.

• Expertise with applying LLMs, prompt design, and fine-tuning methods

• Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods

• Experience with conversational AI

• 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

BENEFITS & PERKS

• Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

• World-class enablement and on-demand training with

• Exposure to executive thought leaders and regular 1:1 coaching with leadership

• Volunteer opportunities and participation in our 1:1:1 model for giving back to the community

• For more details, visit

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