# MLOps Developer

**Company**: Electronic Arts
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/fi_FI/careers/JobDetail/MLOps-Developer/216108?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a420bf04-7fe

## Description

Electronic Arts is seeking an MLOps Developer to work closely with researchers to optimise models, help shape the data they need for training, and instrument the system to measure and improve model performance.

The successful candidate will report to the Head of Data & Infrastructure and work in close partnership with the Lead Infrastructure Engineer and Research Leads to translate requirements into durable operational processes and ensure the fleet operates effectively.

Responsibilities:

- Optimise how models train and serve

- Build the streaming data path from lake to GPU

- Make data formats a deliberate choice

- Instrument the system, including Per-job GPU utilisation, queue depth, and job success rate, cost per experiment, data-loader stall time, and serving latency percentiles

- Land training and experiment telemetry into one place researchers and planners trust

Qualifications:

- 8+ years of engineering experience

- 4+ years building and operating ML systems in production

- Expertise in Python

- Comfort reading and modifying framework-level code , PyTorch, and an inference server such as vLLM, SGLang or TensorRT-LLM

- Demonstrated model or inference optimisation work

- Hands-on experience with distributed data processing for ML (including Ray, Spark, or equivalent) and columnar and ML-native formats (such as Parquet, Arrow, Lance, or similar)

- Practical observability skills including Prometheus, Grafana, or equivalent

- Working knowledge of AWS compute and storage as they apply to ML workloads , EC2 GPU instances, S3 and its performance tiers, EKS

- Experience with containerisation and CI/CD for ML artifacts and a reproducibility instinct

This is a hybrid role, onsite three days a week, in Redwood City, Montreal, or Vancouver.

## Skills

### Required
- Python
- PyTorch
- ML systems
- distributed data processing
- observability
- AWS
- containerisation
- CI/CD

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/fi_FI/careers/JobDetail/MLOps-Developer/216108?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)