AI Research Associate

Develop AI model serving solutions using Python.

Work on backend development and deployment on cloud platforms like GCP and Kubernetes.

Lead AI product strategy for performance marketing

Design AI experiences for marketer-first platforms

Architect and scale a multi-tenant hybrid-cloud Kubernetes platform

Develop custom Kubernetes operators and self-service abstractions

Own the full sales cycle to close deals effectively

Build and manage a pipeline for new business growth

Managing complex deployments across multiple cloud platforms

Partnering with customer engineers for service provisioning and monitoring

Contribute to voice cloning and text-to-speech projects

Develop and deploy high availability applications

Architect, build, and maintain data models, pipelines, and infrastructure

Own end-to-end analytics engineering; report to the CTO

Architectural leadership in designing large-scale distributed systems

Defining technical strategies for boosting velocity and reliability

Build optimized dashboards and KPIs

Create enterprise-grade visuals for Sales and customers

Lead design and development of real-time bidding systems

Build robust data pipelines for insights

Develop and deploy AI models for voice cloning

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

Lead strategy for serverless onboarding

Design instant workspace spin-up flows

Own end-to-end lifecycle of data platforms

Ensure scalability, reliability, and governance for data platforms

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

Iterate on features using Scala and React in an agile manner

Build core systems in a microservices architecture

Iterate on features using Scala and React

Build core systems in a microservices architecture

Lead AI strategy and vision

Design AI experiences

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

Lead secure cloud architecture design and implementation.

Drive alignment of security with business goals.

Build and optimize batch pipelines for data orchestration

Develop and enhance BigQuery data models for analytics

Architecting and building next-generation AI products

Leading and mentoring engineering teams

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.

Develop advanced AI model serving for voice cloning

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

Collaborate on backend services and Pubsubs

Partner with Product to track performance and artists' needs

Lead and mentor globally distributed SRE & Infra teams

Define and execute SRE/infrastructure strategy

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

Lead AI product strategy for marketing platform

Design AI experiences for marketers

Build and implement detection rules using Python.

Secure GCP, cloud networking, and Kubernetes.

Build and run anomaly detection rules using Python

Secure GCP cloud networking and Kubernetes

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

Utilize backend development skills in Python for efficient applications.

Lead AI product strategy and architecture

Design AI solutions for performance marketing

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

Support infrastructural growth across Cloud and On-Premises

Ensure uptime on services, processes, and infrastructure across sites

Design and maintain cloud infrastructure with AWS/Azure/GCP

Automate provisioning using Terraform

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.

Define infrastructure architecture and address technical challenges.

Lead complex initiatives across multiple teams.

Develop state-of-the-art voice cloning techniques

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

Provide technical leadership on automation-first customer problems

Bridge customer operations, AI, and platform teams for scalable solutions

Lead database solution direction

Implement scalable database solutions

Developing and maintaining AI model serving infrastructure

Implementing high availability applications on Kubernetes

Lead AI product strategy for an intelligent orchestration platform

Design AI experiences for marketer-first platforms