L
Principal ML/AI Engineer
Linkedin
1 hour ago
Full-time
On-site
East New York, New York, United States
Principal AI/ML Engineer | Build the AI capability, not just the models
I’m working with an organisation looking for a
Principal AI/ML Engineer
to help shape how AI is engineered, deployed and scaled across the business.
This is
not a purely strategic role . You’ll be hands-on with production ML while also setting the technical direction, engineering standards and MLOps practices across the organisation.
What you’ll be doing Design and build
production-grade ML solutions Shape the
AI/ML platform and architecture Establish best practice across
MLOps, deployment, monitoring and retraining Own the
end-to-end model lifecycle Build monitoring around performance, drift and bias Champion
Responsible AI, governance and model risk Work closely with Data, Platform, Architecture, Security and business teams Create reusable frameworks, reference implementations and technical standards Mentor engineers and lead technical reviews Evaluate emerging AI technologies and turn them into practical solutions
What were looking for:
Someone with strong hands-on experience across: Python & SQL Machine Learning / modern ML frameworks ⚙️
MLOps & production ML Statistics & ML techniques Responsible AI ☁️
AI/ML platforms & model lifecycle management
You’ll also need to be comfortable operating at
Principal level
- influencing architecture, challenging existing approaches, communicating with senior stakeholders and raising the engineering bar around you.
Why it’s interesting You won’t just be building another model and moving onto the next project. You’ll have genuine influence over
how AI is built, governed, deployed and improved across the organisation .
If you're a senior AI/ML engineer who wants to stay technical while having a real say in the direction of AI,
I'd love to speak.
Principal AI/ML Engineer
to help shape how AI is engineered, deployed and scaled across the business.
This is
not a purely strategic role . You’ll be hands-on with production ML while also setting the technical direction, engineering standards and MLOps practices across the organisation.
What you’ll be doing Design and build
production-grade ML solutions Shape the
AI/ML platform and architecture Establish best practice across
MLOps, deployment, monitoring and retraining Own the
end-to-end model lifecycle Build monitoring around performance, drift and bias Champion
Responsible AI, governance and model risk Work closely with Data, Platform, Architecture, Security and business teams Create reusable frameworks, reference implementations and technical standards Mentor engineers and lead technical reviews Evaluate emerging AI technologies and turn them into practical solutions
What were looking for:
Someone with strong hands-on experience across: Python & SQL Machine Learning / modern ML frameworks ⚙️
MLOps & production ML Statistics & ML techniques Responsible AI ☁️
AI/ML platforms & model lifecycle management
You’ll also need to be comfortable operating at
Principal level
- influencing architecture, challenging existing approaches, communicating with senior stakeholders and raising the engineering bar around you.
Why it’s interesting You won’t just be building another model and moving onto the next project. You’ll have genuine influence over
how AI is built, governed, deployed and improved across the organisation .
If you're a senior AI/ML engineer who wants to stay technical while having a real say in the direction of AI,
I'd love to speak.