MLOps Engineer

Posted about 3 months ago

or apply directly on Cognism's site. We never take the application ourselves.

Is this posting real?

This role has been open: 78 days
Reposted: No
Salary listed: No
Ghost-job risk at Cognism: high
Hiring momentum: 27 roles opened in the last 90 days
Last confirmed on the employer's board: 2026-10-23

Measured from postings appearing on and disappearing from Cognism's own greenhouse board since 2026-08-03. Full hiring picture for Cognism.

About this role

As an MLOps Engineer at Cognism, you will be responsible for optimizing and improving the quality of machine learning services and products. Your day-to-day tasks will include building and managing automation pipelines for ML model training and deployment on AWS, designing secure and scalable architectures, and collaborating with Data Scientists to integrate ML models into larger systems. You will also monitor and maintain production-critical ML services and contribute to MLOps best practices within the team.

Our read on this posting2.0out of 5

benefits: 1/5
freshness: 1/5
career value: 4/5
role clarity: 4/5
pay transparency: 0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Cognism as an employer.

What you need

Strong understanding of AWS cloud architecture and services
Experience deploying and monitoring classical ML models in production on AWS
Good understanding of modern MLOps best practices
Good understanding of core Machine Learning fundamentals
Experience serving models in production via a model-serving runtime
Experience with vector databases / approximate-nearest-neighbor search

Nice to have

3+ years in a MLOps, Machine Learning Engineer or DevOps role
Ability to design and implement cloud solutions
Good understanding of software development principles, DevOps methodologies
Experience and understanding of MLOps concepts
Working with GPU based computational frameworks and architectures

Worth weighing

No salary listed
Role involves a mix of hands-on engineering and advisory responsibilities
Focus on AWS cloud services may limit exposure to other cloud platforms
Emphasis on MLOps best practices suggests a mature data team environment

Summarised from Cognism's posting. Read the full original.

Listed by Cognism on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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