Machine Learning Engineer

Direct message the job poster from AMISEQ

IT Staffing & Consulting Leader | Bridge Between Global Tech Talent & Hiring Needs

This role focuses on building and running large-scale machine learning systems that power Client’s advertising platform, helping sellers optimize their ads while ensuring fast, reliable, production-ready ML services

What you’ll do day to day

Work closely with

data scientists, researchers, engineers, and product teams

Build systems that : Recommend

where ads should appear

Suggest

which products to advertise

Choose the right

keywords, bids, and budgets

Turn machine learning ideas into

real, live systems used by millions

Build and manage :

Data pipelines (getting data in the right shape)

ML models (training and improving them)

Deployment systems (getting models into production)

Monitoring tools (making sure everything keeps working)

Improve system speed so ads show

quickly and reliably

Analyze results, run experiments, and explain insights in a way

non-technical teams can understand

Monitor production systems and help fix issues if something breaks

What kind of engineer they’re looking for

They want someone who :

Can

code well

(Python, SQL, Java / Scala)

Understands

machine learning basics

and how to apply them in real products

Has experience

putting ML models into production , not just building them in notebooks

Knows how to work with

large-scale data

(Spark, big databases)

Understands how ML systems run at scale (cloud, GPUs, autoscaling, monitoring)

Can debug problems and communicate clearly with different teams

Bonus points if you’ve worked with :

Deep learning / LLMs

Monitoring tools like Grafana

Dashboards and visualization tools

Seniority level

Seniority level : Mid-Senior level

Employment type

Employment type : Contract

Job function

Job function :

Information Technology

Industries :

Advertising Services, Software Development, and Technology, Information and Media

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