What are the responsibilities and job description for the MLOPS Engineer position at Mpower Plus Rezolve AI Group LTD?
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Please find the requirement below and let me know if you have any suitable profile
Position: MLOPS Engineer
Location: Sunnyvale, CA (Onsite) – local candidates are preferred
Rate: $70/hr. C2C is also fine.
Job Description:
Required Skills & Experience
- Strong experience with production ML systems, incident management, and on‑call operations.
- Deep hands‑on expertise with AWS, Kubernetes/EKS, and infrastructure‑as‑code.
- Experience executing platform or environment migrations with minimal production risk.
- Familiarity with CI/CD pipelines, observability, and secure service operations.
- Ability to work independently, own deliverables end‑to‑end and leave high‑quality documentation.
Key Responsibilities
Realtime‑ML Operations & Playground Migration (~45%)
- Act as primary on‑call and maintenance owner for the Realtime‑ML production stack during the Auriga migration window.
- Monitor system health, triage and resolve incidents, and address data/model‑serving issues.
- Apply security updates, dependency patches, and ensure SLA continuity for downstream consumers.
- Lead migration of the Realtime‑ML Playground environment, including infra parity checks, configuration migration, integration testing, and documentation.
EKS Migration – HarperCollins Bundles (~40%)
- Execute end‑to‑end migration of HarperCollins service bundles to AWS EKS.
- Author Kubernetes manifests, configure IAM and networking, and update CI/CD pipelines.
- Validate in staging and perform a controlled production cutover.
- Produce rollback plans and operational runbooks.
Buildings Production Pipeline (Supporting, ~15%)
- Contribute to design and initial build‑out of a pipeline streaming ML‑detected missing building into the Basemap data flow.
- Deliver pipeline scaffolding, integration patterns with upstream ML outputs, and schema inputs.
- Leave a documented, partially implemented pipeline with clear handoff notes for post‑engagement completion.
Key Deliverables (by End of Engagement)
- Stable Realtime‑ML production environment throughout Auriga migration, with documented incidents and resolutions.
- Fully migrated Realtime‑ML Playground with handoff documentation.
- HarperCollins bundles live on EKS with completed cutover and operational runbooks.
- Partially implemented Buildings pipeline with documentation enabling seamless handoff.
- All code, IaC, and documentation checked into team repositories.
Salary : $70