Jobs in the United States

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Added 8 mins ago
Software Engineer (AI)
Zensar
Princeton, NJ · Jersey City, NJ
Must have skills:
Added 8 mins ago
Software Engineer (AI)
Zensar
Albany, NY · NY
Must have skills:
Added 8 mins ago
Software Engineer (AI)
Zensar
San Jose, CA · Campbell, CA
Must have skills:
Added 8 mins ago
Software Engineer (AI)
Zensar
Lansing, MI · Ann Arbor, MI
Must have skills:
Added 14 mins ago
Business Security Consultant (CNAPP)
EY
Washington, DC
Must possess excellent communication, presentation, and collaboration skills
Added 14 mins ago
Data Strategy & Governance -Director
PwC
Washington, DC
What You Must Have
Added 14 mins ago
Senior Engineer - Cloud (Sunnyvale, CA; US Remote)
CrowdStrike
Washington, DC
Must possess expertise/knowledge sufficient to adequately perform the duties of the job being offered
Added 14 mins ago
Senior Software Engineer
Evolent
Washington, DC
Evaluate and integrate new tools, frameworks, and technologies to improve development processes and team productivity.
Added 14 mins ago
Knowledge Manager
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC
As a content management engineer at Booz Allen, you'll lead the complex design and development of both "out of the box" and module or plugin development frameworks. With the support of your…
Added 15 mins ago
EC
Sr Cloud Data Engineer
Evolver Commercial
United States
- $140,000 to $160,000 USD / year
Evolver is seeking an experienced, highly skilled cloud data engineer to provide services to our Investment Operations & Fund Treasury Data Engineering team. The ideal resource will have…
Added 17 mins ago
Principal Forward Deployed Engineer, Enterprise AI Productivity
Analog Devices Inc.
TX · CA
We are seeking a Principal Forward Deployed Engineer to partner directly with business organizations and accelerate the adoption of Enterprise AI across Analog Devices.
Added 21 mins ago
Software Engineer Senior Consultant I
Allstate Insurance Co.
Remote, United States
The Software Engineer, Sr Consultant II to Lead Consultant, implement applications following 12-factor principles to build out the product and iterative enhancements. They own the full…
Added 22 mins ago
XE
Senior AI Governance Engineer
Xcel Energy Services Inc
Denver, CO · Minneapolis, MN
- $97,600 to $159,100 USD / year
Data Quality Engineering: Design and implement data quality frameworks, rule sets, and scoring methodologies across multiple data domains, including measurement approaches for accuracy,…
Added 22 mins ago
UG
Senior Site Reliability Engineer
UnitedHealth Group
Schaumburg, IL
- $91,700 to $163,700 USD / year
3+ years of experience implementing and supporting monitoring, logging, distributed tracing, alerting, SLIs, SLOs, and Error Budget frameworks
Added 24 mins ago
Data Engineer Lead
Arine
Remote, United States
Ensure team cross-coverage: both the DE Lead and assigned Data Engineer should understand the full ETL flow, with at least two additional engineers familiar at a high level.
Added 25 mins ago
S
Machine Learning Engineer
Solstice
New York City, NY
- $140,000 to $250,000 USD / year
…model serving, retrieval systems, data processing, evaluation frameworks, testing, monitoring, and system…
Added 30 mins ago
Sr AI Engineer - Platform Engineering
The Hartford
Chicago, IL
The Senior AI Engineer will architect, build, and operationalize advanced AI and multi-agent solutions leveraging RAG , GraphRAG , Agentic AI frameworks , and enterprise‑grade cloud…
Added 30 mins ago
Client Technology - Senior Software Engineering with AI Capabilities
EY
Chicago, IL · Springfield, IL
Develops strong working relationships with peers across Development & Engineering and Architecture teams, collaborating to develop and engineer leading solutions
Added 33 mins ago
UG
Site Reliability Engineer
UnitedHealth Group
Eden Prairie, MN
- $72,800 to $130,000 USD / year
As a DevOps Engineer at Optum, you will join an engineering team modernizing healthcare platforms through Google Cloud Platform (GCP) and next-generation AIOps. In this role, you will be at…
Added 35 mins ago
Azure Network Seg Implementation
Robert Half
Kansas City, MO
Description We are looking for a Cloud Engineer to support a Contract engagement focused on strengthening Azure network governance in Kansas City, Missouri. This role will evaluate the…
Added 39 mins ago
RA
Senior Software Engineer, Frontend (React)
Retell AI
Redwood City, CA
- $200,000 to $300,000 USD / year
As a Frontend Engineer at Retell AI, you’ll build the user experiences that power our voice automation platform from prompt management and dashboards to analytics and customer-facing tools.…
Added 41 mins ago
Software Development Engineer in Test
Stored Energy Systems
Longmont, CO
We are looking for an experienced Software Development Engineer in Test (SDET) to join our engineering team. The SDET will be responsible for designing, developing, and maintaining an…
Added 42 mins ago
Senior Software Engineer I (Fullstack)
LG Ad Solutions
Denver, CO · New York City, NY
We are seeking a talented and motivated Senior Software Engineer 1 (Full Stack) to join our Measurement and Reporting team. We enable our clients to visualize their impact across different…
Added 43 mins ago
SA
Engineer II, Software - Autonomy Capabilities - New Grad - 6131
Shield AI
United States
- $136,000 to $204,000 USD / year
As an Engineer II, you will deliver bounded autonomy features and tests using established technical direction. You will investigate moderately defined behavior and integration issues,…
Added 48 mins ago
Sr. Technical Program Manager - Finance
Crane Worldwide Logistics
Houston, TX
…teams for structured rollouts. Create meaningful measurement frameworks throughout the project lifecycle, with particular emphasis on instrumentation during rollouts to track adoption,…

Cushman & Wakefield

Principal Machine Learning Engineer

Creve Coeur, MO, United States

Apply on hiremo.mo.gov About employer

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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...

Apply on hiremo.mo.gov About employer

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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Jobs in the United States