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Added 4 mins ago
Software Engineer, Processor Design Infrastructure, Quantum AI
Google
Goleta, CA
Experience building engineering or scientific data pipelines, relational databases, or artifact stores.
Added 28 mins ago
Engineer III, Cloud SDET - Endpoint (Hybrid, Sunnyvale)
CrowdStrike, Inc.
Sunnyvale, CA
CrowdStrike is looking for a Senior Software Development Engineer in Test (SDET) to join our growing Endpoint Protection Product (EPP) Cloud team, supporting our Falcon Prevent solution.…
Added 38 mins ago
I
Software Solution Engineer
InterImage
Remote, United States
- $105,000 to $162,000 USD / year
Architect Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise data sources.
Added 38 mins ago
I
System Solutions Engineer
InterImage
Remote, United States
- $170,000 to $230,000 USD / year
We are seeking a Technical Product Owner / Solutions Engineer to bridge the gap between customers, engineering teams, and mission stakeholders in the design and delivery of modern…
Added 38 mins ago
Software Engineer
InterImage
Remote, United States
We are seeking a motivated and innovative Software Engineer to support the development of next-generation AI-enabled solutions for mission-driven environments across the Department of…
Added 38 mins ago
I
Senior Ontology Engineer
InterImage
Remote, United States
- $175,000 to $228,000 USD / year
As an Ontological Engineer, you will help shape the knowledge foundations behind enterprise AI systems. This role is well suited to someone who enjoys bringing clarity to complex domains…
Added 38 mins ago
Ontological Engineer
InterImage
Remote, United States
As an Ontological Engineer, you will help shape the knowledge foundations behind enterprise AI systems. This role is well suited to someone who enjoys bringing clarity to complex domains…
Added 42 mins ago
Data Engineer I
First Citizens Bank
Raleigh, NC · UNAVAILABLE, NC
We are seeking a motivated Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven…
Added 44 mins ago
SoC Silicon Top-Level Floorplan Engineer
Google
Sunnyvale, CA
Experience with SoC design methodologies for full chip power grid, global clocking, data path implementation, third-party IP integration, and bump planning.
Added 44 mins ago
ASIC Design Verification Engineer, Machine Learning
Google
Sunnyvale, CA
As an ASIC Design Verification Engineer, you will be part of a team developing ASICs used to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in…
Added 44 mins ago
Senior Staff Software Engineer, Technical Lead Manager, Vertical Ads on Maps
Google
Mountain View, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 55 mins ago
Customer Success Engineer - Americas
JetBrains
Remote, United States
Added 1 hour ago
Sr Data Engineer
Insight Global
Kansas City, KS
Insight Global is looking for a Senior Data Engineer to join a Web Services team that is expanding its focus on AI-enabled application development. This person will take ownership of the…
Added 1 hour ago
LR
IAM Engineer
Levi, Ray & Shoup, Inc.
Kansas City, KS
- $45 to $50 USD / hour
LRS Consulting is looking for an IAM Engineer to support enterprise IAM operations focused on Privileged Access Management (PAM), identity lifecycle management, authentication, and…
Added 1 hour ago
O
Lead Principal Core Infrastructure Engineer
Oracle
Nashville, TN
- $146,300 to $306,400 USD / year
We are looking for a highly skilled and motivated distributed systems engineer who can architect solutions to scale and optimize AI infrastructure components like GPU control plane and GPU…
Added 1 hour ago
Senior Data Engineer
Keebo
Remote, United States
As a Senior Data Engineer, you'll design and scale the data pipelines and machine learning infrastructure behind our platform. You'll use AI to multiply your own output and the team's, and…
Added 1 hour ago
KC
Optical Engineer
KLA Corporation
Milpitas, CA
- $117,800 to $200,300 USD / year
…manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor…
Added 1 hour ago
Solution Engineer - NYC
Justt
NYC, NY
We're seeking an experienced, independent Solution Engineer to join our growing New York team. This is a critical role requiring complete ownership of complex technical processes - from…
Added 1 hour ago
TT
Mid/Senior Full Stack AI Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $250,000 USD / year
- Address deployment, data residency, and GDPR requirements for European enterprise customers.
Added 1 hour ago
Agentic Context Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Agentic Context Engineer based in the United States.
Added 1 hour ago
J
Agentic-First Software Engineer (Miami)
Jiffy
Miami, FL
- $150,000 to $265,000 USD / year
Continuously identify where remaining manual work (QA, ops runbooks, data investigations, migrations) can be replaced by agents, and automate it.
Added 1 hour ago
J
Agentic-First Software Engineer (Relocate to Miami)
Jiffy
Austin, TX
- $150,000 to $265,000 USD / year
Continuously identify where remaining manual work (QA, ops runbooks, data investigations, migrations) can be replaced by agents, and automate it.
Added 1 hour ago
VP of Product
Leena AI
NY · New York, NY
Enterprise trust. Make data residency, audit trails, explainability, permissions and agent guardrails first-class product features, not RFP afterthoughts.
Added 1 hour ago
Snowflake Data Engineer
Insight Global
Nashville, TN
The Data Engineer is responsible for building and maintaining Snowflake ingestion pipelines,
Added 1 hour ago
O
Senior Support Engineer - Oracle Health
Oracle
Nashville, TN
- $52,200 to $132,400 USD / year
Oracle Health is seeking an experienced Technical Support Engineer to join our team supporting Cerner Millennium solutions. In this role, you will be responsible for investigating,…

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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