Senior MLOps/LLMOps Engineer, Development

Job not on LinkedIn

🕒 June 30

🇺🇸 United States – Remote

💵 $155k - $195k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Citrin Cooperman

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1979

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Citrin Cooperman is an independent, full-service professional services firm that provides accounting, audit, tax, advisory, and consulting services to businesses and high‑net‑worth individuals. The firm offers outsourced finance and accounting, transaction advisory, valuation and forensic services, risk and cybersecurity advisory, and technology platform integrations across a wide range of industries. With a focus on client-centric, industry-specific solutions (including healthcare, manufacturing, real estate, restaurants, private equity, and professional services), Citrin Cooperman supports both private companies and family offices and operates as part of a broader international network for expanded reach.

📋 Description

• Design and build automated deployment pipelines specifically for generative AI applications • Ensure that updates can be safely promoted across environments (Dev, Test, Prod) • Deploy and manage the infrastructure required for continuous AI evaluation • Instrument AI applications to capture deep operational metrics • Implement version control for prompts and model configurations • Integrate input/output guardrails into the application flow to automatically block prompt injection attacks, PII leakage, or off-topic responses • Actively monitor the financial footprint of AI solutions

🎯 Requirements

• Bachelor’s degree in computer science, information technology, engineering, or equivalent practical experience • Databricks Certified: Machine Learning Professional • Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) • DeepLearning.AI: Machine Learning Engineering for Production (MLOps) • 4+ years of experience in DevOps, MLOps, or Site Reliability Engineering (SRE) with specific experience in generative AI deployments in last 1-2 years • Deep proficiency in building CI/CD pipelines using enterprise tools (Azure DevOps, GitHub Actions, GitLab CI) • Hands-on experience with LLMOps tools and frameworks (e.g., MLflow, LangSmith, PromptFlow, Arize, or similar observability platforms) • Strong Python scripting skills and experience containerizing machine learning or API workloads (Docker, Kubernetes) • Understanding of the API ecosystems for frontier models (OpenAI, Anthropic, Google Vertex AI) and multi-agent frameworks (LangChain, LangGraph) • Familiarity with cloud infrastructure (Azure, AWS) and infrastructure-as-code principles • Automation-obsessed • Financially vigilant • Analytical defender

🏖️ Benefits

• Competitive compensation and benefits • Flexibility to manage personal and professional life