
Advanced Model Deployment Specialist
8 hours ago
About the Role:
We are seeking a skilled Advanced Model Deployment Specialist to join our team.
80%).
Drive initiatives on model governance, automated drift detection (≤10% false positives), and data-management best practices.Integrate vector databases (Qdrant, Pinecone) for low-latency semantic retrieval and build agentic workflows using LangChain or similar frameworks.Architect RBAC-driven, isolated ML services to securely serve multiple organizations.Design Prometheus/Grafana dashboards, ELK/Fluentd logging pipelines, and alerting for all ML workloads.Maintain CI/CD pipelines for Python (FastAPI) and TypeScript (NestJS) inference services.Define and track SLAs/SLOs, optimize cloud spend by ≥ 20% year-over-year, and ensure GPU clusters operate at > 80% utilization.Partner with AI researchers, product managers, and legal teams to align MLOps standards with compliance and roadmap goals.Mentor junior engineers, run quarterly brown-bags, own onboarding docs (upskill 5+ engineers/quarter), and publish ≥ 1 open-source contribution or talk annually.Required Skills and Qualifications:
- Expertise in machine learning, software engineering, and DevOps.
- Familiarity with containerization tools (Docker), orchestration platforms (Kubernetes), and cloud providers (AWS, GCP, Azure).
- Proficiency in programming languages such as Python, Java, and C++.
- Experience with model serving frameworks like TensorFlow Serving, AWS SageMaker, and PyTorch Serving.
- Strong understanding of scalability, security, and reliability principles.
- Excellent communication and collaboration skills.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
- Recognition and rewards for outstanding performance.
Others:
- Contribute to the development of cutting-edge AI technologies.
- Work on complex problems that require innovative solutions.
- Be part of a diverse and inclusive team.
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