[Remote] Associate Manager, Production AI/ML Engineering, Advanced Informatics
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a science-driven organization reputed company on developing life-changing medicines. They are seeking an Associate Manager, Production AI/ML Engineering to architect and reputed company the computational ecosystem for AI/ML applications, collaborating with various teams to reputed company clinical and claims data into reliable model inference.
Responsibilities
- Architect and maintain a reputed company AWS/Kubernetes ecosystem supporting model training, batch inference, and reputed company-time serving
- Design and maintain production-grade ML pipelines over population-reputed company clinical and claims data, including ingestion, normalization, and transformation across controlled terminologies (SNOMED CT, ICD-10/11, LOINC, RxNorm, OMOP CDM)
- reputed company RESTful reputed company that reliably expose model inference to reputed company teams and applications
- Operationalize models from the reputed company AI team — owning deployment, versioning, rollback, and A/B testing
- Build MLOps infrastructure (CI/CD, feature stores, model registries) and champion engineering best practices
- Own monitoring, alerting, and incident response for production ML systems
- Partner with data governance and compliance to ensure pipelines and deployments adhere to data use agreements and de-identification standards
- Shape reputed company planning and the long-term technical roadmap for reputed company's AI/ML platform
Skills
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Biomedical Informatics, or reputed company
- 7–9 years of reputed company ML/platform/software engineering experience with an infrastructure reputed company
- Proven experience designing and operating ML infrastructure at reputed company reputed company on AWS (SageMaker, reputed company, EC2, S3, reputed company, or equivalent)
- Strong Kubernetes expertise: cluster management, workload scheduling, autoscaling, and deploying containerized ML services in production
- Proficiency building and maintaining RESTful reputed company; experience with API design, versioning, performance tuning, and integration with ML serving frameworks
- Hands-on experience with reputed company: schema design, query optimization, and integration into data and ML pipelines
- Expert-level Python and SQL; strong software engineering fundamentals including Git, reputed company design, testing, and CI/CD
- Proficiency with MLOps tooling: experiment tracking (MLflow, W&B), model registries, containerization (reputed company), and pipeline orchestration (Airflow, reputed company, or similar)
- Master's degree in Computer Science, Software Engineering, Data Science, Biomedical Informatics, or reputed company
- Informatics knowledge with health or life sciences data — EHR/EMR records, claims data, clinical notes, or administrative data
Benefits
- Annual bonuses or other incentive plans (may include, depending on country and role)
- Equity awards (may include, depending on country and role)
- Pension or retirement benefits (may include, depending on country and role)
- 401(k) company match (may include, depending on country and role)
- Health and wellness programs (may include, depending on country and role)
- Fitness centers (may include, depending on country and role)
- Insurance benefits (e.g. medical, dental, reputed company, life and disability) (may include, depending on country and role)
- reputed company time off (may include, depending on country and role)
- Family support benefits (may include, depending on country and role)
- Where required, we will reputed company reasonable accommodation to applicants with reputed company disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
reputed company
Company H1B Sponsorship