Salesforce Hiring Computer Science Graduate, Postgraduate

Overview:

Salesforce is hiring an experienced Lead ML Engineer – AI Cloud at their Bangalore locations. You will drive collaboration, efficiency and communication by liaising with your peers, leadership, product and program management and cross teams. You will support / seek timely help with your peers, communicate risks and mitigation plans with leadership and communicate closely with product managers to iteratively build AI Platform services which caters to our users and business use case.

The complete details of this job are as follows:

Roles and Responsibilities:

• Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies
• Experience building Distributed microservices on AWS, GCP or other public cloud substrates
• Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt
• Partner with Product Managers, Architects and Data Scientists to understand customer requirements, and help translate requirements to working software
• Own the technology for fully orchestrated machine learning APIs for Einstein Platform
• Contribute to the long-range plan, and help drive the microservices architectures for machine learning
• Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple datacenters
• Participate in the team’s on- call rotation to address complex problems in real-time and keep services operational and highly available
• Create and enforce processes that ensure quality of work, and drive engineering excellence
• Exhibit a customer-first mentality while making decisions, and be responsible and accountable for the output of the team
• Partner with vendors like AWS and Data Science teams to pick best fit in terms of libraries and compute to deliver cost effective and
  scalable model hosting and tuning/training capabilities
• Work collaboratively in a geographically distributed teams in North America, EMEA and APAC

Core Qualifications:

• BS, MS, or PhD in computer science or a related field, or equivalent work experience with 9 to 15 years of experience
• 3+ years of hands-on experience with designing and developing complex big data, machine learning systems, and microservices architectures
• Track record of leading highly impactful projects from conception to production
• Expertise in JVM based languages (Java, Scala) and/or Python
• Experience leading/working in teams that have built and and run machine learning services, such as for training & inferences, at scale for predictive and generative models
• Experience with open source projects such as Spark, Kafka, Feast, Iceberg
• Experience in building software on AWS cloud computing such as OpenSearch, DynamoDB, EMR and S3

Preferred Qualifications:

• Experience working in machine learning, and technologies such as Amazon SageMaker, Microsoft Azure ML or Google Cloud ML
• Experience building or leading teams that have built and and run real-time data applications in production

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