MediaMint - Senior Member of Technical Staff - AI/ML Systems

What do we do ?

MediaMint is an AI-powered Revenue Operations services company dedicated to accelerating innovation and revenue growth for platforms and publishers worldwide. Our mission is to enhance operational efficiency, scalability, customer satisfaction, and data-driven insights through advanced technology, automation, and AI capabilities. We serve industry leaders across AdTech, Consumer, CTV, Publishing, and Retail.

Job Description :

We're looking for an engineer-researcher hybrid who is equally comfortable whiteboarding novel model architectures and writing production-grade code. You will prototype cutting-edge AI solutions, harden them for scale, and own the platform primitives-data, services, tooling-that unlock rapid experimentation and reliable delivery.

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 that meet demanding performance, latency, and cost targets.

• MLOps & Developer Experience : Build CI/CD, automated testing, and observability for models and services using GitHub Actions/Jenkins, Terraform, Kubernetes, and Prometheus/Grafana.

• Performance Engineering : Profile and optimise model inference (GPU/TPU), data throughput, and overall system reliability; run chaos experiments and capacity planning.

• Security & Compliance : Embed DevSecOps, data-privacy, and governance controls throughout the ML lifecycle.

• Cross-Functional Collaboration : Partner with data scientists, product managers, and revenue-ops SMEs to translate research into scalable features and insights.

• Thought Leadership : Contribute to technical roadmaps, publish internal papers, mentor engineers, and represent MediaMint in open-source and community forums.

What You Must Bring :

• 10+ years of software engineering with significant experience in AI/ML systems (training, inference, data engineering, or platform).

• Proven coding expertise in Python (strongly preferred) and at least one of Go, Rust, or Java; solid Linux fundamentals.

• Full-stack development skills spanning modern frontend frameworks (React/TypeScript), scalable REST/GraphQL APIs, and cloud-native backend services; ability to ship end-to-end features rapidly.

• Deep understanding of at least one cloud provider (AWS, GCP, or Azure) and containerised deployment with Docker & Kubernetes.

• Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX) and model-serving stacks (Triton, TorchServe, KServe).