MOLLKOM / AI & machine learning
Senior ML Platform Engineer, Inference & MLOps
Build the operating layer that makes model capabilities useful and efficient every day.
The mission
AI workflows need precise operational choices, from routing and scheduling to measurement and versioning. Develop infrastructure that lets teams experiment and ship while understanding quality, latency and cost.
What you’ll work on
- Design serving, provider routing, queues and concurrency controls.
- Optimize caching, batching and token use while measuring output quality.
- Build latency, error and cost observability with model/configuration versioning.
- Develop progressive rollout, recovery and replay for long-running work.
What you bring
- Experience in ML infrastructure, MLOps or operating AI services.
- Strong Python, Go or TypeScript and understanding of containers and cloud services.
- Experience with observability, CI/CD, secrets and failure handling.
- Ability to locate bottlenecks with measurements and explain performance/cost trade-offs.
SHOW YOUR THINKING
Let your work start the conversation.
Share an inference or infrastructure improvement with measurements before and after.
Share public links or a short explanation without disclosing confidential information from previous work.
About Mollkom
Mollkom is an AI-enabled commerce operating environment. We connect product preparation, content, marketing and customer service with orders, inventory, point of sale and delivery, so the steps work from shared knowledge.
Meet the platform