Data Pipeline Support Engineer

Develop cutting-edge voice cloning technology

Implement low latency and cost-effective text-to-speech solutions

Architect and maintain cloud infrastructures

Lead containerization and orchestration with Docker and Kubernetes

Lead large-scale technical projects effectively

Establish program standards and milestones

Implementing voice cloning and text-to-speech technologies

Developing low latency and cost-effective solutions

Lead and manage the Accelerator Platform team effectively

Define and implement the platform normalization layer for integration

Analyze and remove performance bottlenecks

Develop and optimize Node.js and Golang services

Lead strategic territory plan targeting NYC banking institutions

Become a product and industry expert

Specializing in AI Model Serving and backend development

Efficient task prioritization and deployment of high availability applications

Lead API product strategy, roadmap, and lifecycle

Design scalable RESTful APIs with security and compliance in mind

Develop state-of-the-art voice cloning techniques.

Ensure low latency and cost-effective text-to-speech solutions.

Build and operate detection and response pipelines in the cloud environment

Implement controls to counter threats and enhance security measures

Develop advanced AI model serving for voice cloning

Implement low-latency and cost-effective text-to-speech solutions

Develop state-of-the-art voice cloning technology

Implement low latency and cost-effective text-to-speech solutions

Develop and deploy AI models

Create low-latency text-to-speech solutions

Contribute to cutting-edge voice cloning and text-to-speech technologies.

Utilize backend development skills in Python for efficient applications.

Develop low latency and cost-effective voice cloning and text to speech using AI models.

Prioritize tasks based on urgency and impact for efficient implementation.

Architect scalable automated test frameworks using Python and Bash

Build dynamic test environments on cloud platforms with Ansible and Terraform

Develop AI model serving infrastructure

Collaborate for successful deployment

Develop secure, scalable data systems

Build and operate data pipelines

Lead the implementation of new features and enhancements

Design, develop, and maintain front-end apps

Design and maintain cloud infrastructure with AWS/Azure/GCP

Automate provisioning using Terraform

Drive architectural vision for login flow and Auth0 management.

Lead major technical projects across teams.

Act as a customer's technical advocate and extend their team.

Implement Fastly products post-sales and document configurations.

Own and evolve the compute platform to support all workloads.

Hire exceptional engineers and invest in their growth.

Develop and maintain web applications

Collaborate with a team to deliver projects

Develop state-of-the-art voice cloning techniques

Implement low latency and cost-effective text-to-speech solutions

Developing and maintaining AI model serving infrastructure

Implementing high availability applications on Kubernetes

Analyze customer datasets for insights

Explain model performance and risk policies

Develop and deploy AI models efficiently

Prioritize tasks based on urgency and impact

Act as technical advisor to enterprise customers

Design and implement modern data architectures

Build a cloud-native network stack for Airbnb services

Collaborate with open-source communities like CNCF and Istio

Provide senior technical advisory for enterprise customers

Design and implement modern data architectures

Revolutionizing AI model serving with voice cloning and text-to-speech

Developing low latency and cost-effective text-to-speech solutions

Monitor and improve reliability of production AI systems

Identify, diagnose, and fix issues across apps, integrations, and cloud

Build and manage AI tooling stack and system infra for Field Engineering

Set standards for AI-driven development and scale capabilities

Act as a senior technical advisor to enterprise customers

Design and implement modern data architectures

Develop and implement voice cloning and text to speech solutions.

Prioritize tasks for efficient implementations.

Provide senior escalation point for high-priority incidents

Lead investigations and monitoring strategies

Develop and deploy AI models for voice cloning

Implement cost-effective text-to-speech systems

Guide enterprise customers in implementing modern data architectures

Develop custom solutions powered by Starburst

Design, build, and maintain ML backend services

Integrate ML models via APIs for production reliability

Build robust and user-friendly platforms for infra provisioning

Write performant and maintainable code in Go

Provide IT support to internal and external customers

Troubleshoot and resolve IT inquiries and problems

Primary client liaison ensuring service delivery and satisfaction

Coordinate with internal teams and develop proactive strategies

Design and develop Power BI reports and dashboards aligned to business goals

Build and maintain reusable Power BI assets

Design, develop, and maintain scalable software systems

Provide technical leadership within the team

Act as senior technical advisor to strategic enterprise customers

Build and implement modern data architectures

Develop efficient backend solutions for AI model serving

Utilize cloud services such as GCP, AWS, and Azure

Architect and train teacher-student models for multimodal data

Develop RL-based data discovery and reasoning workflows

Drive end-to-end delivery of large-scale technical initiatives.

Translate business goals into detailed technical requirements.