PLATFORM / AI Platform, MLOps & Cloud

Hire MLOps & AI platform engineers to run production AI

Models need more than a successful demo. Reliable AI services depend on deployment pipelines, evaluation, monitoring, secure infrastructure and controlled operating costs. SYNTRIVIO helps employers define and recruit the right MLOps, AI platform and cloud engineering skills for permanent remote roles.

Discuss your platform hiring brief Email SYNTRIVIO

For employers recruiting permanent remote AI specialists. This is a recruitment service page, not a live vacancy listing.

Which AI platform specialist does your team need?

Job titles overlap, but the work may be very different. Focus the recruitment brief on ownership, platform maturity and the systems the new hire must operate.

MLOps Engineer

Builds and maintains training and deployment pipelines, model registries, monitoring, reproducibility and operational processes for machine-learning systems.

AI Platform Engineer

Develops shared infrastructure and developer tooling for teams building and deploying AI, including access controls, observability, scaling and reliability.

LLMOps Engineer

Supports production LLM services with versioning, model and prompt evaluation, monitoring, runtime controls and cost-aware inference.

Cloud AI Infrastructure Engineer

Designs secure cloud environments, CI/CD pipelines, containers, networking and compute resources that underpin AI workloads.

What to assess when hiring MLOps and platform engineers

Ask candidates for evidence from real deployments. Depending on your business, explore the following:

Reliable releases: how they move models or AI services from development to production, including testing, rollback and incident handling.
Monitoring and evaluation: model drift, data quality, latency, operational alerts and feedback loops.
Cloud and infrastructure: infrastructure as code, containers, orchestration, networking and service reliability.
Security and access: identity, secrets management, least-privilege access and governance requirements.
Cost control: capacity planning, compute usage, inference costs and balancing performance with spend.
Working across teams: support for data scientists, AI engineers, security teams and product owners.

Technology experience may include AWS, Azure, Google Cloud, Kubernetes, Docker, Terraform, MLflow, CI/CD and observability tools. Assess proficiency in the stack relevant to your environment rather than expecting every tool on one CV.

Build a practical AI platform hiring brief

Start with the services your team already runs. Does the hire need to create a platform from scratch, improve deployment reliability, support LLM inference or lead an established engineering function?

If the role is primarily about developing AI application features rather than operating platforms, compare our Applied AI & LLM Engineer Recruitment service.

If the focus is connecting AI services into business workflows, see AI Automation & Integration Recruitment.

Current ML or LLM workloads and production scale
Cloud provider, architecture and core tooling
Deployment ownership and on-call expectations
Security, governance and data-handling constraints
Required seniority and cross-team responsibilities
Salary range, remote locations and hiring timeline

How SYNTRIVIO starts your recruitment search

Explain your environment. Describe your existing platform, delivery challenges and why you are hiring.
Define essential experience. Decide which production skills, ownership level and technologies are genuinely required.
Discuss the search. Share the salary, remote-work requirements, interview process and expected recruitment timeline.

We focus on permanent remote recruitment and relevant technical experience. Employer enquiries are handled through SYNTRIVIO's existing hiring form.

PLATFORM / Hiring managers

Recruiting an MLOps or AI platform engineer?

Tell SYNTRIVIO what your systems need to support, what is not working today and who will own the platform after the hire. Start with a focused employer enquiry.

Send your AI platform hiring enquiry

Or email hirewithus@syntrivio.com.