Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Remote role at a known company with broad responsibilities but senior specialization limits applicant density.
Highly specialized ML infrastructure and cloud platform skills make cross-industry transferability limited.
Explicit years, management, AWS/Kubernetes, and ML platform requirements enforce strict shortlisting.
Lead and grow a team of ML infrastructure engineers based in India, managing hiring, mentoring, and scaling efforts.
Architect and evolve ML serving infrastructure and CI/CD platforms for automated, reliable, and scalable model deployment using AWS and container orchestration technologies.
Collaborate cross-functionally with ML scientists, data engineers, and product teams to operationalize machine learning models and drive technical roadmap and delivery alignment.
5+ years of engineering management or leadership experience.
10+ years software development experience with Python, Go, and/or TypeScript.
3+ years experience with AWS services including ECS/EKS and SageMaker.
Work remotely from India; experience with distributed teams and cross time-zone collaboration required.
Experienced leader with hands-on technical background in cloud-native distributed systems and ML infrastructure.
Proven ability to set technical direction and deliver complex ML platform features including model serving and CI/CD pipelines.
Comfortable operating in a remote, cross-functional environment involving collaboration with US-based teams and ML scientists.