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Added 1 min ago
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Senior Preconstruction Manager
GPAC
St Louis, MO
- $125,000 to $150,000 USD / year
Proficiency in Microsoft Office and construction estimating software.
Added 3 mins ago
Technical Support Engineer (CS)
Jobgether
Remote, United States
The Technical Support Engineer will play a key role in helping enterprise customers successfully adopt and operate a platform that connects AI agents and human users with business systems…
Added 4 mins ago
G
Senior Preconstruction Manager
GPAC
Oregon City, OR
- $125,000 to $150,000 USD / year
Proficiency in Microsoft Office and construction estimating software.
Added 4 mins ago
G
Senior Preconstruction Manager
GPAC
Albany, GA
- $125,000 to $150,000 USD / year
Proficiency in Microsoft Office and construction estimating software.
Added 7 mins ago
G
Senior Preconstruction Manager
GPAC
Dallas, TX
- $125,000 to $150,000 USD / year
Proficiency in Microsoft Office and construction estimating software.
Added 7 mins ago
G
Senior Preconstruction Manager
GPAC
Fort Collins, CO
- $125,000 to $150,000 USD / year
Proficiency in Microsoft Office and construction estimating software.
Added 7 mins ago
G
Senior Preconstruction Manager
GPAC
Livingston, NJ
- $125,000 to $150,000 USD / year
Proficiency in Microsoft Office and construction estimating software.
Added 7 mins ago
G
Senior Preconstruction Manager
GPAC
Helena, MT
- $125,000 to $150,000 USD / year
Proficiency in Microsoft Office and construction estimating software.
Added 7 mins ago
G
Senior Preconstruction Manager
GPAC
Richmond, VA
- $125,000 to $150,000 USD / year
Proficiency in Microsoft Office and construction estimating software.
Added 7 mins ago
G
Senior Preconstruction Manager
GPAC
Walker, MI
- $125,000 to $150,000 USD / year
Proficiency in Microsoft Office and construction estimating software.
Added 7 mins ago
G
Senior Preconstruction Manager
GPAC
Bowling Green, KY
- $125,000 to $150,000 USD / year
Proficiency in Microsoft Office and construction estimating software.
Added 10 mins ago
Senior Software Engineer, AI Networking
NVIDIA Corporation
TX · CA · Austin, TX · Santa Clara, CA · Austin · Santa Clara
We are seeking an outstanding Software Engineer to join our US-based networking software team. As a technical leader, you will lead the transformation of AI networking systems. You will…
Added 13 mins ago
Senior Network Engineer, Google Enterprise Network
Google
Austin, TX · Thornton, CO
…platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the…
Added 16 mins ago
Senior Telecom Engineer
Maximus
Juneau, AK
Maximus is seeking an experienced Senior Telecom Engineer to lead the design, implementation, and optimization of Genesys Cloud solutions. This role is responsible for executing large-scale…
Added 16 mins ago
Network Operations Engineer
Meta
Juneau, AK
Automation: Collaborate with the team to analyze operational events to identify new automation opportunities and achieve our goals of all Tier-1 faults in the network being fully remediated…
Added 16 mins ago
Mechanical Engineer, Data Center Operations Engineering
Meta
Juneau, AK
Meta is seeking a Mechanical Engineer to join our Data Center Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently…
Added 47 mins ago
G
Project Engineer
GPAC
Olathe, KS
- $90,000 to $130,000 USD / year
This organization provides full lifecycle mechanical solutions including HVAC, plumbing, controls/building automation, engineering services, and prefabrication support. Projects include…
Added 47 mins ago
G
Project Engineer
GPAC
Olathe, KS
- $90,000 to $130,000 USD / year
This organization provides full lifecycle mechanical solutions including HVAC, plumbing, controls/building automation, engineering services, and prefabrication support. Projects include…
Added 47 mins ago
G
Project Engineer
GPAC
Overland Park, KS
- $90,000 to $130,000 USD / year
This organization provides full lifecycle mechanical solutions including HVAC, plumbing, controls/building automation, engineering services, and prefabrication support. Projects include…
Added 47 mins ago
G
Project Engineer
GPAC
Kansas City, MO
- $90,000 to $130,000 USD / year
This organization provides full lifecycle mechanical solutions including HVAC, plumbing, controls/building automation, engineering services, and prefabrication support. Projects include…
Added 47 mins ago
G
Project Engineer
GPAC
Kansas City, MO
- $90,000 to $130,000 USD / year
This organization provides full lifecycle mechanical solutions including HVAC, plumbing, controls/building automation, engineering services, and prefabrication support. Projects include…
Added 48 mins ago
Senior Networking Engineer, WBB Platform, GGN WANForms
Google
Thornton, CO
As a WAN Building Block (WBB) Platform, Google Global Networking (GGN) WANForms Network Engineer, you will be responsible for defining and qualifying platforms and solutions for scaling…
Added 53 mins ago
Software Engineer in Test - MATLAB Editor
MathWorks
Natick, MA
As a Software Engineer in Test on the MATLAB Editor, you'll uphold the standard of quality that impacts thousands of users every day through MATLAB's coding and editing capabilities across…
Added 54 mins ago
Software Development Engineer, OneMHS
Amazon
Boston, MA
We are seeking an exceptional Software Development Engineer to build and scale edge machine learning compute, equipment monitoring, and computer vision capabilities across our global…
Added 54 mins ago
Senior Software Engineer
EPAM Systems
Boston, MA
We are looking for engineers who are passionate about developer productivity, command-line tooling, software distribution, observability, and telemetry. You should be equally comfortable…

Cushman & Wakefield

Principal Machine Learning Engineer

Creve Coeur, MO, United States

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Job details

Posting language: English

Original job description

Summary

Job Title

Principal Machine Learning Engineer

Job Description Summary

We are seeking a Principal ML Engineer to build and maintain artificial intelligence and machine learning systems for our business. This role combines deep technical execution with broad influence: tackling the most complex machine learning problems, designing and implementing data architectures/models, MLOps and LLMOps, and monitoring and optimization as key software, while raising the bar for engineering excellence across the Data Organization.

Reporting to the Senior Director, Data Science & AI, the Principal ML Engineer is expected to move fluidly across project/product teams - embedding in projects for days or months at a time to unblock, accelerate, and uplift delivery. They will mentor other engineers at every level, push standards for technical excellence, and help establish the ML engineering, and architectural principles that guide our work. The primary platform is Databricks and the Azure cloud ecosystem, with the expectation of evaluating and adopting additional data technologies as the platform evolves.

Job Description

Role Summary

We are seeking a Principal ML Engineer to build and maintain artificial intelligence and machine learning systems for ourbusiness. This role combines deep technical execution with broad influence: tackling the most complex machine learning problems, designing and implementing data architectures/models, MLOps and LLMOps, and monitoring and optimization as key software, while raising the bar for engineering excellence across the Data Organization.

Key Responsibilities

AI/ML Model Development

+ Demonstrable experience shaping the end-to-end architecture, development, and deployment of AI, including machine learning, GenAI, and Agentic models that are tailored to business use cases.

+ Design and develop agentic AI systems - including multi-agent orchestration, tool-use, evaluation, and autonomous task-execution pipelines - to automate complex enterprise workflows.

+ Enforce model development standards encompassing data preprocessing, feature engineering, model selection, hyperparameter tuning, evaluation, and documentation.

+ Partner with data engineering teams to ensure robust, scalable, and high-quality data pipelines that support model training and inference.

AI Operations (MLOps / LLMOps)

+ Implement the organization's MLOps and LLMOps capabilities, including CI/CD pipelines for data wrangling, feature engineering, model training, evaluation, deployment, and monitoring.

+ Help define and enforce standards for model versioning, experiment tracking, reproducibility, and model registry management.

+ Implement robust model monitoring frameworks to detect performance degradation, data drift, concept drift, and bias in production systems, with automated alerting and retraining triggers.

AI Governance

+ Implement AI governance frameworks, including policies for model risk management, fairness, explainability, privacy, and security.

+ Champion sound AI principles across the global business, ensuring that human oversight and accountability are embedded in every stage of the AI development lifecycle.

Essential Skills, Knowledge & Experience

+ 10+ years building software or machine learning systems, including 6+ years shipping and operating machine learning in production - served, monitored, and maintained after launch.

+ Prior experience as the senior-most or near-senior-most engineer on a production ML or data platform, with responsibility for architectural decisions others had to live with.

+ A track record of setting technical standards that outlasted your own involvement, and of leading through influence without formal authority.

+ Strong hands-on Python and SQL , and the software engineering fundamentals that keep ML systems maintainable at scale - version control, automated testing, code review, modular design - plus the discipline to enforce them across teams.

+ Expert hands-on proficiency with Databricks (Spark, Lakeflow Declarative Pipelines, Delta Lake, Lakebase/Postgres, Unity Catalog, Model Serving) and the Azure data ecosystem. _Deep experience on a comparable lakehouse platform will be considered, with the expectation of becoming effective on Databricks quickly._

+ Experience with MLflow or an equivalent for experiment tracking, model registry, tracing, and reproducibility.

+ At least one year building agentic systems that reached production use, or equivalent demonstrated work. You should be able to walk us through a system you built: how it was orchestrated, how you evaluated it, what guardrails you put around it, how it failed, and what standard you set for whoever built the next one.

+ Proven ability to mentor engineers at every level and materially raise the technical standard of the teams you work with.

+ Familiarity with modern machine learning frameworks and a strong instinct for reusable, scalable engineering patterns.

Preferred Skills, Knowledge & Experience

+ Experience establishing an ML or AI platform capability in an organisation that did not previously have one.

+ Experience embedding across multiple teams, geographies and time zones as a principal-level technical contributor.

+ Familiarity with CI/CD and infrastructure-as-code tooling for data pipelines using Azure DevOps, Databricks Declarative Automation Bundles (DABs), GitHub Actions, Terraform, or equivalent.

+ Good understanding of data governance, metadata management, and cataloguing in enterprise environments.

+ Exposure to model serving and inference at scale - containers, REST endpoints, latency and throughput targets - or to feature stores, retrieval pipelines, or LLM cost-attribution tooling.

+ Model Context Protocol (MCP) or comparable tool-integration standards.

+ Commercial real estate, professional services, or another domain where the data is messy, entities are inconsistently defined, and subject matter experts are the source of truth.

\#LI-Remote

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a co...

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More about this job

Skills

Machine learning
ML
Databricks
Microsoft Azure
Documentation
Data engineering
CI/CD
Python
SQL
Test automation
Apache Spark
Unity
Mlflow
Direct inward dialing
Infrastructure as code
DevOps
GitHub
IBM Terraform

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