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Added 8 days ago
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Industrial Engineering Analyst
Actalent
Pittsburgh, PA
- $70 to $80 USD / hour
Advanced proficiency in data analysis tools, including Excel (advanced modeling), Python, SQL, and Power BI/Tableau or similar reporting and dashboard tools.
Added 8 days ago
A
Software Test Engineer
Actalent
Huntsville, AL
- $49.95 to $93.47 USD / hour
Demonstrated ability in software development in one or more of the following programming languages: C#/.NET, C, C++, Python, or Ruby.
Added 8 days ago
Linux Systems Engineer (Top Secret/SCI with agreement to obtain CI Poly Clearance Required)
North Point Technology
Chantilly, VA
Scripting languages including Bash and Python
Added 8 days ago
Full-stack Engineer 4
Capital One
Richmond, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 8 days ago
Staff Cloud Engineer
Capital One
McLean, VA · Richmond, VA · NY · Plano, TX
10+ years of experience in coding with at least one of the following: Java, Scala, Python, Go, or Node.js
Added 8 days ago
Sr. Associate, Cash Forecasting
Capital One
McLean, VA
…Additionally, the Senior Associate will own the development of our Python-based forecasting model, partnering with the Cash Forecasting and Management teams to build robust reporting and…
Added 8 days ago
Full-stack Engineer 4
Capital One
McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 8 days ago
Full Stack Engineer 5 (Senior Manager, IC, MLX Group)
Capital One
McLean, VA · Cambridge, MA · San Jose, CA · Richmond, VA · San Francisco, CA · NY
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 8 days ago
Full Stack Engineer 4 (AI Operations/MLX Group)
Capital One
NY · McLean, VA · Cambridge, MA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 8 days ago
Senior Full Stack Engineer
Canopy
Remote, United States
Design and implement REST API endpoints and microservices using Python with FastAPI or Java or Kotlin with Vert.x, backed by PostgreSQL
Added 8 days ago
Lead Business Analyst, Capacity Planning - Supervision
L Federal Reserve Bank of San Francisco
San Francisco, CA · Salt Lake City, UT · Los Angeles, CA
…software (Tableau), and programming languages such as SQL, R, Python, etc. to manipulate data and create reporting and visualizations from…
Added 8 days ago
Sr Platform Engineer Lead
Capital Technology Group
Remote, United States
Proficiency in scripting and automation (Bash, Python, or Go)
Added 8 days ago
Forward Deployed Engineer
United States
Added 8 days ago
Threat Analyst – Machine Learning Operations & Detection Efficacy (Remote)
CrowdStrike, Inc.
Wenatchee, WA
Knowledge of programming and scripting languages, in particular Python
Added 8 days ago
2027 Kill Chain Modeling and Simulation Engineer
The Aerospace Corporation
El Segundo, CA · Huntsville, AL · Chantilly, VA · Colorado Springs, CO
Proficiency with a programming language such as Python or C++
Added 8 days ago
Senior Flight Dynamics Engineer I - Secret Clearance
Rocket Lab Corporation
Long Beach, CA
Added 8 days ago
Senior Flight Dynamics Engineer II - Secret Clearance
Rocket Lab Corporation
Long Beach, CA
Added 8 days ago
Senior Flight Dynamics Engineer I
Rocket Lab Corporation
Long Beach, CA
Added 8 days ago
C
Senior Product Data Scientist
Collective
San Francisco, CA
- $180,000 to $230,000 USD / year
- SQL and Python (or R): expert SQL and strong scripting for analysis, statistics, and tooling.
Added 8 days ago
IT DevOps Engineer
MACOM Technology Solutions Holdings, Inc.
Lowell, MA
Automate repetitive sysadmin tasks with Ansible playbooks and shell/Python scripts.
Added 8 days ago
Software Integration & Test Eng. II(HIL Auto)
3MD Inc.
Redmond, WA
Familiarity with Python and LabVIEW for test automation and hardware interfacing
Added 8 days ago
Insider Threat Signature Developer (Senior)
Pueo Business Solutions LLC
United States
Pueo is seeking a driven Insider Threat Signature Developer to join our unique team of multidisciplined experts onsite in the National Capital Region (NCR), to work closely with our IC…
Added 8 days ago
Intern, SRAM Design Engineer
Samsung Semiconductor
San Jose, CA
Proficiency in scripting languages (e.g. Python, Perl or TCL)
Added 8 days ago
UO
Database and Application Administrator, Information Technology
University of Montana (UM), Helena College, and UM Western
Missoula, MT
- $83,000 USD / year
Experience with PL/SQL, Bash, Python, and/or similar programming languages
Added 8 days ago
Senior Data Scientist
Lingo US Inc
CA
Strong expertise in Python as well as proficiency in writing complex SQL queries

Forward Deployed Engineer

United States

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Job details

Posting language: English

Original job description

Job ID: [[id]]

Alternate Locations: [[mfield1]]

Newell Brands is a leading consumer products company with a portfolio of iconic brands like Graco®, Coleman®, Oster®, Rubbermaid®, Sharpie® and Yankee Candle® - and 24,000 talented teammates around the world. Our culture is built on values in action: Integrity, Teamwork, Passion for Winning, Ownership, and Leadership. We work together to win, grow, and make a real impact - supported by a high-performing, inclusive, and collaborative environment where you can be your best, every day.

We are building AI-enabled capabilities that help our marketing, eCommerce and content teams work faster and smarter, starting with content optimization and extending to other needs as they come up. The Forward Deployed Engineer designs and builds the solutions. You will work directly with the teams who own content, product data, creative, syndication and other marketing and eCommerce workflows, learn how their work gets done and build with them. This role is focused on building, and you will report to the Head of Digital Product & Innovation, eCommerce, who leads product strategy and stakeholder alignment. You will work closely with your leader on the product vision, using what you learn in the field to inform what we build next and why. What you build in the field informs what gets productized, and what gets productized is then deployed back into the business. This is a hands-on, high-visibility role.

Responsibilities

Discover and Design

Work with New Item Setup, Marketing, Brand, eCommerce, Content, Media, Commercial and IT teams to map how work gets done and find where data issues, handoffs and rework slow teams down
Take on new marketing and eCommerce needs as they come up, from workflow automation to analytics and reporting, and help prioritize them alongside ongoing work
Find the underlying problem behind each request, and turn business requirements into scoped technical solutions with clear specifications and success metrics
Contribute to architecture choices for each AI solution, including models, orchestration and data design, in partnership with enterprise IT, and recommend a different approach when the request is not the best fit

Build and Deploy

Build and own technical components from design through deployment, testing and monitoring in production
Rapidly prototype and deploy solutions such as AI agents, workflow automations, integrations, data pipelines and lightweight applications, then take them from prototype to production to meet enterprise standards
Build and deploy AI agents and workflows that take action in business systems, including prompts, tool calls, retrieval and context layers
Develop classification and enrichment models, such as those that map, validate and generate product attributes and categories against our taxonomy and retailer requirements
Train, tune and deploy machine learning models that extract and classify information from text, images and documents, such as product attributes against our taxonomy, at scale
Choose the right approach for each use case, from rules and classical models to fine-tuned and LLM-based extraction, and design feedback loops that retrain models using human corrections
Connect copy and generative AI content capabilities into connected workflows, using a blend of AI within custom Azure solutions and enterprise tools such as Adobe and Salsify
Build data pipelines and integrations across Azure, enterprise data platforms and the commercialization stack: product information management (PIM), syndication and digital asset platforms (Stibo, Salsify, Adobe)
Work with enterprise IT to meet requirements for security, access control and data governance, and to integrate with legacy systems
Use Claude Code and similar AI-assisted development tools daily to build and test faster

Operate and Improve

Test AI output with defined test sets, quality metrics and human review
Measure extraction and classification performance by attribute using precision, recall and F1 on labeled datasets, and track confidence thresholds, error patterns and model drift over time
Monitor deployed solutions, find the root cause when issues occur and fix them
Build dashboards that report solution health and business results: cycle time, data quality, cost avoidance and content readiness
Help measure and report impact in terms stakeholders and finance care about, such as time saved, cost avoided, revenue influenced and quality improved
Document solutions and train business teams to use and extend them independently, gathering feedback and iterating until the solution is part of how the team works

Inform the Product

Contribute to the product vision and roadmap alongside your leader, combining what you learn in the field with their strategy and priorities
Turn repeated field needs into reusable capabilities, and help decide what to build once, what to configure and what not to build
Bring data, working demos and clear technical recommendations to stakeholder discussions to help reach decisions
Keep stakeholders informed by communicating progress, tradeoffs and risks clearly to both working teams and senior leaders
Stay current on new AI tools and methods, and recommend when to adopt, build or retire a capability

Qualifications

Bachelor's degree in computer science, engineering, data science or a related field, or equivalent practical experience
Five or more years in software engineering, data engineering, solutions engineering or a similar role such as forward-deployed engineering or consulting, including technical delivery for customers or business teams
Strong Python and SQL skills
Software engineering fundamentals, including version control, code review and automated testing
Experience with Azure and DevOps practices, including CI/CD, infrastructure as code and cloud deployment
Experience in data science, including feature engineering, model selection, validation and statistical evaluation, and moving models from experiment to production
Hands-on machine learning for information extraction and classification, such as named-entity recognition, multi-label and hierarchical classification, embeddings, and fine-tuning of transformer or large language models
Experience building with large language models, agent frameworks and orchestration, prompt and context design, evaluation and monitoring
Experience with classification, taxonomy mapping or entity-resolution models
Working knowledge of current AI tools and methods, with examples of what you have built or tested

Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz. We are focused on delighting consumers by lighting up everyday moments. Newell Brands and its subsidiaries are Equal Opportunity Employers and comply with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.

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