Are you someone who enjoys turning cutting-edge AI research into production-ready systems? Do you thrive at the intersection of AI/ML, software engineering, cloud infrastructure, and platform design?

If you're excited about building AI solutions at scale, we'd love to hear from you.

What to Expect at MediaMint :

At MediaMint, we believe great people define their surroundings. We value people who are :

- Curious and committed to continuous learning

- Honest, self-aware, and driven by integrity

- Focused on professional and personal growth

- Comfortable taking ownership and solving complex problems

- Excited to experiment, innovate, and build meaningful solutions

What We Do :

MediaMint is an AI-powered Revenue Operations services company dedicated to accelerating innovation and revenue growth for platforms and publishers worldwide.

What You'll Do :

Research & Prototyping :

- Rapidly explore and benchmark new ML/GenAI techniques

- Build proof-of-concepts that demonstrate business value

Platform Architecture :

- Design microservices, data pipelines, and model-serving infrastructure

- Build systems that meet demanding performance, latency, reliability, and cost targets

MLOps & Developer Experience :

- Build CI/CD, automated testing, and observability for models and services

- Work with GitHub Actions/Jenkins, Terraform, Kubernetes, and Prometheus/Grafana

Performance Engineering :

- Profile and optimize model inference across GPU/TPU environments

- Improve data throughput and overall system reliability

Security & Compliance :

- Embed DevSecOps, data privacy, and governance controls across the ML lifecycle

Technical Leadership :

- Contribute to technical roadmaps, mentor engineers, and represent MediaMint in communities

What You Must Bring :

- 10+ years of software engineering experience with significant experience in AI/ML systems

- Strong Python expertise and proficiency in at least one of Go, Rust, or Java

- Full-stack development experience with modern front-end frameworks such as React/TypeScript

- Deep understanding of at least one cloud provider : AWS, GCP, or Azure

- Hands-on experience with Docker, Kubernetes, and ML frameworks (PyTorch, TensorFlow, or JAX)

- Experience with model-serving stacks such as Triton, TorchServe, or KServe

- Infrastructure-as-Code proficiency with Terraform, Pulumi, or CloudFormation

Bonus Points :

- Publications or patents in ML/GenAI

- Experience with vector databases, feature stores, or online/offline experimentation platforms

- Familiarity with AdTech, MarTech, or Revenue Operations