• Build and run a scalable, traceable, FDA-ready data platform bridging on-prem DGX and AWS for our 2026 submission. • Implement ingestion + QC automation starting with CT DICOM, expanding to video/C-Arm and radiology reports. • Implement/operate distributed processing on AWS Batch (Spot) for large-scale QC + predictions + derivatives. • Deploy ClearML for dataset versioning/lineage and experiment tracking (runs/metrics/artifacts; provenance). • Optimize training data access using Lance (or equivalent) for fast loading and incremental updates. • Build a PostgreSQL-backed enrichment service for metadata/labels/predictions independent of raw media (optional search via OpenSearch/text+vector). • Integrate/operate labeling workflows (Encord preferred; alternatives acceptable), incl. RBAC/QC/audit trail + algorithmic label ingestion. • Establish a governed clinical validation environment meeting 21 CFR Part 11 expectations (access control, audit trail/WORM, provenance) and HIPAA/PHI handling.

Title: General Application Referrals Location: United States - Remote Job Description: Crystal Dynamics is constantly seeking the best gaming talent worldwide to add to our 30-plus year legacy of game development creating new and iconic franchises. We are committed to making great games with great people and living the dream while doing it. Benefits for our full-time positions include, but are not limited to, a competitive regional salary, 100% employer-paid medical, dental, and vision insurance options, professional development reimbursement perk, flexible hybrid on-site/off-site work opportunities, company paid holidays, plus additional paid days in December when the studio is closed for holiday break, and the ability to accrue weeks of personal paid time-off. General Application Referrals You have been referred by a Crystal Dynamics employee! We ask that you please fill out the additional questions below to be considered for future opportunities. Crystal Dynamics is an equal opportunity employer. We are committed to identifying and implementing positive and persistent measures to ensure equal opportunity in the recruitment, hiring, development, training, promotion and compensation of a diverse team employee group. This includes persons of different race, color, creed, religion, sex, gender identity or gender expression, pregnancy, breastfeeding or medical conditions related to breastfeeding, genetic characteristic, sexual orientation, national origin, ancestry, medical condition, political affiliation, age, veteran status, uniform service member status, marital status, physical or mental disability, or citizenship, as well as any other classifications protected by applicable federal, state or local laws. Crystal Dynamics is committed to providing reasonable accommodations in accordance with applicable laws.

• Upgrade ML assets (models, data) management systems for better developer experience and robust governance capabilities • Build and optimize model serving infrastructure with a focus on inference latency and cost optimization • Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options • Implement cost-efficient, enterprise-scale solutions • Collaborate in a cross-functional, distributed team for continuous system improvement • Work with MLEs, QA Engineers, and DevOps Engineers • Evaluate and implement new technologies and tools • Contribute to architectural decisions for distributed ML systems

Role Description We are looking for a Senior MLOps specialist. It will be full-time for about 3 months. We are flexible on location and rate for the right person. Mission - Build and run a scalable, traceable, FDA-ready data platform bridging on-prem DGX and AWS for our 2026 submission. Key Responsibilities - Implement ingestion + QC automation starting with CT DICOM, expanding to video/C-Arm and radiology reports. - Implement/operate distributed processing on AWS Batch (Spot) for large-scale QC + predictions + derivatives. - Deploy ClearML for dataset versioning/lineage and experiment tracking (runs/metrics/artifacts; provenance). - Optimize training data access using Lance (or equivalent) for fast loading and incremental updates. - Build a PostgreSQL-backed enrichment service for metadata/labels/predictions independent of raw media (optional search via OpenSearch/text+vector). - Integrate/operate labeling workflows (Encord preferred; alternatives acceptable), incl. RBAC/QC/audit trail + algorithmic label ingestion. - Establish a governed clinical validation environment meeting 21 CFR Part 11 expectations (access control, audit trail/WORM, provenance) and HIPAA/PHI handling. Qualifications - Knowledge of medical imaging (CT, DICOM). - Experience with data ingestion pipelines. - Expertise in data quality (QC) automation. - Familiarity with distributed data processing. - Experience in experiment tracking and dataset versioning. - Knowledge of metadata and label management. - Understanding of clinical AI validation. - Familiarity with 21 CFR Part 11 compliance. - Knowledge of HIPAA/PHI handling. - Experience with RBAC, audit trails, and WORM storage. - Familiarity with vector search and media processing. - Experience in annotation/labeling workflows. - Understanding of provenance and data lineage. - Experience with PACS integration and radiology workflows. Requirements - Proficient in Python. - Experience with AWS (S3, AWS Batch, EC2 Spot). - Familiarity with Kubernetes, HPA, and Karpenter. - Knowledge of Networking (VPC, VPN UiFI). - Experience with Trivy, Jenkins, PostgreSQL, DICOM, PACS, Orthanc, ClearML, Lance, Encord, OpenSearch, and FFmpeg.