What are the responsibilities and job description for the Senior MLOps Engineer - Artificial Intelligence (up to $290k) position at Dex?
This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
If you're interested sign up to Dex to apply.
Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.
The role
This is a chance to build MLOps infrastructure for one of the most mature and critical AI operations globally. For over a decade, this team has been shipping production AI, processing vast amounts of structured and unstructured data across every asset class. Hundreds of thousands of users depend on the systems you'll keep running, making this a rare opportunity to impact AI at a level of scale and criticality few companies can offer.
You'll join a 400 person AI department, owning the tooling and infrastructure that underpins their entire model development lifecycle. This isn't a role for someone focused solely on model experimentation; it's about designing and building the robust systems that enable ML engineers to iterate quickly and ship confidently. You'll define and enforce the SLAs around latency, throughput, and resource usage that production AI at this scale demands, working closely with both AI Platform and product-facing teams.
The work
This is a rare, high-impact MLOps role at a company with deep AI maturity. Apply through Dex to cut through the noise, get properly briefed on the full context, and ensure your application stands out. We help you skip cold-applying and get matched to this role and others like it.
If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/f6c6d7fe-da06-4733-809f-fb1e24889611
As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.
If you're interested sign up to Dex to apply.
Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.
The role
This is a chance to build MLOps infrastructure for one of the most mature and critical AI operations globally. For over a decade, this team has been shipping production AI, processing vast amounts of structured and unstructured data across every asset class. Hundreds of thousands of users depend on the systems you'll keep running, making this a rare opportunity to impact AI at a level of scale and criticality few companies can offer.
You'll join a 400 person AI department, owning the tooling and infrastructure that underpins their entire model development lifecycle. This isn't a role for someone focused solely on model experimentation; it's about designing and building the robust systems that enable ML engineers to iterate quickly and ship confidently. You'll define and enforce the SLAs around latency, throughput, and resource usage that production AI at this scale demands, working closely with both AI Platform and product-facing teams.
The work
- Design and implement continuous training pipelines for models serving hundreds of thousands of users.
- Build and optimize inference infrastructure, ensuring high throughput and low latency for critical AI products.
- Develop comprehensive monitoring and observability workflows to maintain strict SLAs on resource usage (CPU, GPU, memory, network).
- Partner with AI Platform teams to operationalize machine learning models end-to-end, from development to production.
- Collaborate directly with product-facing engineering teams to integrate and scale AI capabilities.
- 4 years of professional experience as a strong Python developer in production ML environments.
- Hands-on experience building or operating ML infrastructure with cloud-native tooling (e.g., Kubernetes, Argo Workflows).
- Proven ability to define and enforce SLAs for latency, throughput, and resource consumption in large-scale systems.
- Working knowledge of ML frameworks (e.g., PyTorch, ONNX, DeepSpeed) and their operational demands.
- Solid CS fundamentals and a track record of delivering production-quality code.
This is a rare, high-impact MLOps role at a company with deep AI maturity. Apply through Dex to cut through the noise, get properly briefed on the full context, and ensure your application stands out. We help you skip cold-applying and get matched to this role and others like it.
If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/f6c6d7fe-da06-4733-809f-fb1e24889611
As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.
Salary : $290,000