Summary
✨ AI‑Generated
An experienced Machine Learning/MLOps Engineer is sought for a 12-month hybrid engagement with potential extension. The role covers the full production ML lifecycle, including model development, end-to-end pipelines, deployment, monitoring, retraining, reliability, scalability, and low-latency optimization, with cloud-based ML infrastructure.
Highlights
A 12-month hybrid contract with potential extension, offering end-to-end ownership across the ML lifecycle, from research and model development through deployment, monitoring, retraining, and production optimization.
Description
Contract: 12 months (subject to extension).
Location: Amsterdam, Netherlands.
Salary: Not a constraint for the right candidate!
Experience: 8-10 years.
Hybrid: 2 days Work from Home 3 days Work from Office
Your Profile & DNA:
We are looking for an experienced Machine Learning Engineer with strong MLOps expertise to build and operate production-grade ML solutions for ancillary product pricing, including seats, bags, extra legroom, and paid fare upgrades.
This is a hands-on role covering the full ML lifecycle — from research and model development to deployment, monitoring, retraining, and optimization.
Roles & Responsibilities
Develop and maintain machine learning models for pricing and revenue optimizationDesign and implement end-to-end ML pipelines, including training, retraining, validation, deployment, and monitoringProductionize ML models with a strong focus on reliability, scalability, and low latencyContinuously monitor and optimize production ML modelsWork with GCP, including BigQuery and Vertex AILead the MLOps practices within the teamDesign and optimize scalable ML architecturesBuild and maintain CI/CD pipelines and automated testingManage infrastructure using TerraformContainerize applications and ML workloads using DockerDevelop CI/CD automation using GitHub ActionsEnsure solutions follow internal engineering, quality, security, and operational standards
Qualification & Experience
A Bachelor's or Master's Degree or equivalent.Strong experience in Machine Learning EngineeringSolid hands-on MLOps experienceExperience taking ML models from development to productionStrong understanding of ML lifecycle, model deployment, retraining, and monitoringExperience with GCPHands-on experience with BigQueryExperience with Vertex AIStrong Terraform experienceExperience with DockerStrong knowledge of CI/CD and GitHub ActionsExperience with automated testingStrong understanding of ML architecture and optimizationExperience building low-latency, scalable production solutions
What do we offer?
If your profile matches the job requirement and you are interested to be presented to our clients, then please apply and don’t forget to attach your updated CV in line with the JD!
This position is for 1 year with possibility of extension.
We offer competitive Gross Salary in line with the market standard.
Besides that, we offer following benefits, such as:
20 days of holiday per yearEncourage Personal Development - Certification (Certification Charges reimbursed)Income Tax Return FilingWe provide Visa Sponsorship for Candidate & DependantsPossibility of bonus
Who we are:
A2G Consulting also known as "A2G Technologies" is one of the fastest growing staffing companies in North Brabant region, Netherlands.
We cater to Asia and Europe market focusing on high tech & non-high-tech clientele; headquartered in Eindhoven, Netherlands with a branch office in India (Bangalore & Pune) & Dubai.
We successfully find a candidate and ensure that they get opportunities in line with their aspirations.
We offer visa sponsorship for local & international candidates for career-enhancing opportunities.
We strongly believe in equal opportunities and hence have a pool of resources with diversified ethnicity.
You will be deployed and work at one of our client sites.
