AI Infrastructure Engineer (ML Ops / AI Ops) Recruitment Agency in New York

About AI Infrastructure (MLOps / AIOps) Jobs in New York

In New York’s enterprise and high-growth ecosystems, AI Infrastructure Engineer roles focus on making AI systems stable, secure, and repeatable. These professionals build the pipelines and platforms that support data ingestion, model training, versioning, deployment, and monitoring. A strong MLOps/AIOps engineer bridges data science and DevOps, ensuring models run reliably across environments with controlled releases and audit-ready traceability.

As a specialist MLOps Recruitment Agency in New York, we recruit engineers experienced in CI/CD for ML, model registries, feature stores, containerized training, GPU workloads, and observability. With GenAI growth, companies also seek skills in LLM serving, RAG pipelines, vector databases, prompt/version management, and safety guardrails to keep AI services dependable.

Why Demand for MLOps / AIOps Engineers is High in New York

New York organizations are scaling AI across payments, trading analytics, personalization, fraud detection, operations automation, and customer support. As usage grows, reliability becomes non-negotiable—driving demand for MLOps Engineers in New York who can standardize deployments, reduce model downtime, and keep performance stable over time. Cybotrix supports employers seeking engineers who can run AI like a product—secure, observable, and measurable.

• Rapid adoption of Generative AI & LLM services needs safe production operations.
• Enterprises require repeatable ML pipelines to reduce time-to-deploy.
• Regulated sectors need audit trails, governance, and model risk controls.
• AI at scale demands monitoring, drift detection, and incident response.
• Cost pressure increases hiring for efficient training/inference and GPU optimization.

This is why AI Infrastructure & MLOps hiring in New York remains strong across fintech, healthcare, media, and enterprise SaaS.

Popular AI Infrastructure & MLOps Job Profiles in New York

As a dedicated AI Infrastructure Engineer Recruitment Agency in New York, we recruit for multiple roles across platform, operations, and deployment:

• MLOps Engineer / ML Operations Engineer
• AI Infrastructure Engineer / AI Platform Engineer
• ML Platform Engineer / Feature Store Engineer
• LLMOps Engineer / GenAI Infrastructure Engineer
• Model Deployment Engineer / Inference Engineer
• Model Monitoring & Observability Engineer
• AI Security / AI Governance Engineering (advantage)
• AIOps Engineer (AI for IT Operations / Incident Automation)

We also support hybrid roles such as MLOps + DevOps, MLOps + Data Engineering, and LLMOps + Cloud Security, based on client stack and maturity stage.

Key Skills Required for AI Infrastructure Engineer (MLOps / AIOps) Jobs

Employers in New York look for engineers who can build stable AI platforms and automate the full ML lifecycle. Important skills for MLOps & AI Infrastructure jobs include:

• Strong programming with Python, and scripting for automation (Bash/Go a plus).
• Cloud experience with AWS / Azure / GCP and managed ML services.
• ML pipeline tools: Airflow, Dagster, Kubeflow, Argo, Prefect (any).
• Containerization and orchestration with Docker, Kubernetes, Helm.
• CI/CD for ML: GitHub Actions, GitLab CI, Jenkins with testing gates.
• Data stack exposure: Snowflake, Databricks, Spark and warehousing patterns.
• Model management: MLflow, model registries, feature stores (Feast/Tecton).
• Observability: logging, metrics, tracing, drift detection, alerting, SLOs.
• Security basics: IAM, secrets, encryption, network controls, compliance readiness.

For senior roles, companies value platform design, GPU cost optimization, reliability engineering, and the ability to standardize ML operations across teams.

Industries Hiring MLOps & AI Infrastructure Engineers in New York

As a leading MLOps Recruitment Agency in New York, we support AI infrastructure hiring across sectors that require secure, scalable AI:

• Banking, FinTech, Payments, Trading & Fraud Platforms
• Healthcare, Insurance, Claims Automation & Patient Analytics
• Media, AdTech, Content Intelligence & Recommendation Systems
• Retail Tech, Personalization, Pricing & Demand Forecasting
• Enterprise SaaS, CRM/ERP, Workflow Automation & Analytics
• Cybersecurity, Identity, Trust & Threat Intelligence
• Logistics, Operations, Forecasting & Optimization Systems
• Customer Support Automation, Conversational AI & Contact Centers

Beyond New York, we also support hiring for MLOps roles in Boston, Seattle, Austin, San Francisco, Chicago, and Washington DC, based on client expansion and candidate location preferences.

AI Infrastructure Engineer (MLOps / AIOps) Salary in New York

The salary for AI Infrastructure Engineers in New York depends on cloud stack, scale, security requirements, and whether the role supports ML, GenAI, or both. Compensation often includes base pay, bonus, and equity for startups. Typical annual ranges include:

• Entry-Level MLOps / Platform (0–2 years): $110,000 – $160,000 per annum*
• Mid-Level MLOps Engineer (2–6 years): $160,000 – $230,000 per annum*
• Senior / Lead MLOps (6+ years): $230,000 – $320,000+ per annum*

Engineers with strong LLMOps, GPU orchestration, inference optimization, governance tooling, and enterprise platform design may command higher offers. (*Approximate ranges — compensation varies by company, role scope, and candidate profile.)

How Cybotrix Helps with MLOps & AI Infrastructure Hiring in New York

As a focused AI Infrastructure Engineer Recruitment Agency in New York, Cybotrix supports employers and candidates with a structured hiring process. We screen for production readiness—pipeline automation, security hygiene, monitoring discipline, and cross-team collaboration—to ensure reliable AI operations.

• Candidates share cloud experience, ML tooling, and production deployment exposure.
• We conduct HR + technical screening for MLOps, CI/CD, Kubernetes, and observability.
• Shortlisted profiles are shared with AI teams across New York’s fintech and enterprise ecosystem.
• We support interview scheduling, system design rounds, and offer negotiation end-to-end.

Our goal is to connect the right MLOps & AI Infrastructure Engineers with organizations that value reliability, security, and speed of delivery.

Why Choose Cybotrix as Your MLOps Recruitment Partner in New York?

Cybotrix specializes in building production-grade AI delivery teams. We recruit for MLOps Engineers, AI Infrastructure Engineers, AIOps Engineers, ML Platform Engineers, LLMOps Engineers, and Model Deployment Engineers. Our New York-focused recruiters understand real-world constraints—governance, uptime, cost, security, and compliance—needed to run AI at scale.

• Dedicated MLOps and AI infrastructure recruitment team for New York hiring.
• Strong network across fintech, SaaS, healthcare, media, and enterprise technology centers.
• Support for full-time, contract, hybrid, and remote MLOps roles.
• Screening focused on production stability, observability, and automation maturity.

Whether you are building a new ML platform or scaling GenAI deployments, Cybotrix is your reliable MLOps Recruitment Agency in New York.

Connect with Our MLOps & AI Infrastructure Recruiters in New York

Looking for MLOps jobs in New York or hiring an AI Infrastructure Engineer to stabilize and scale your AI platform? Partner with Cybotrix — a trusted AI Infrastructure Engineer (ML Ops / AI Ops) Recruitment Agency in New York for freshers and experienced professionals. Submit your resume or hiring requirement today and let our recruitment team help you hire faster, deploy safer, and operate AI with confidence.