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Support AI/ML execution across large-scale image and video datasets by managing annotation workflows, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role focuses on foundational computer vision and machine learning tasks, data quality, and production deployment support, with growth opportunities toward applied modeling or MLOps.

Develop and enhance Salesforce Service Cloud solutions, including Omni-Channel routing, capacity, and presence management. Build scalable applications with Apex and Lightning Web Components, maintain Aura and Visualforce components, and integrate Salesforce with telephony, CTI, SaaS, and AppExchange systems through REST, Bulk, and Metadata APIs. Support Git-based CI/CD, deployments, and migrations in an enterprise environment.

Develop and enhance enterprise Salesforce Service Cloud solutions, including Omni-Channel routing, capacity, and presence management. Build scalable applications with Apex and Lightning Web Components, maintain Aura and Visualforce components, and integrate Salesforce with telephony, CTI, SaaS, and AppExchange systems through REST, Bulk, and Metadata APIs. Support Git-based CI/CD, deployments, and migrations while collaborating across US Central and India Standard time zones.

Develop and enhance enterprise Salesforce Service Cloud solutions, including Omni-Channel routing, capacity, and presence management. Build scalable Apex and Lightning Web Components applications, maintain Aura and Visualforce components, and integrate Salesforce with telephony, CTI, SaaS, and AppExchange systems using REST, Bulk, and Metadata APIs. Manage Git-based CI/CD, deployments, and migrations while collaborating across US Central and India Standard Time zones.

Develop and enhance enterprise Salesforce Service Cloud solutions, including Omni-Channel routing, capacity, and presence management. Build scalable applications using Apex and Lightning Web Components while maintaining Aura and Visualforce components. Create REST, Bulk, and Metadata API integrations with third-party systems, including telephony and SaaS platforms. Support Salesforce CI/CD, Git-based deployment, and migration processes in a distributed, remotely operated environment.

Develop and enhance Salesforce Service Cloud applications, including Omni-Channel routing, capacity, and presence management. Build scalable Apex and Lightning Web Components, maintain Aura and Visualforce components, and integrate Salesforce with telephony, CTI, SaaS, and AppExchange systems through REST, Bulk, and Metadata APIs. Manage Git-based CI/CD, deployment, and migration processes in an enterprise environment.

Supports AI/ML teams by curating image and video datasets, managing annotation workflows, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role requires foundational Python, machine learning, computer vision, and cloud knowledge, with opportunities to grow into applied modeling or MLOps.

Develop and enhance Salesforce Service Cloud solutions, including Omni-Channel routing, capacity, and presence management. Build scalable Apex and Lightning applications using LWC, while maintaining Aura and Visualforce components. Create REST, Bulk, and Metadata API integrations with telephony, CTI, SaaS, and AppExchange systems. Support enterprise Salesforce environments through Git-based CI/CD, deployment, and migration processes.

Support reliability and modernization of Kubernetes-based microservices platforms. Build Datadog observability solutions including dashboards, alerts, APM, metrics, logging, and tracing; integrate monitoring with AWS and CI/CD pipelines; and automate operational tasks using Python. Manage agents, integrations, API keys, access controls, and secure configurations while leading maintenance and platform improvements that enhance reliability, scalability, and performance.

Support reliability and modernization of Kubernetes-based microservices platforms. Build Datadog observability solutions, including dashboards, alerts, APM, metrics, logging, and tracing. Integrate monitoring with AWS and CI/CD pipelines, automate operational tasks using Python, manage agents, integrations, API keys, and access controls, and lead platform maintenance to improve reliability, scalability, and performance.