JobHabor

Untitled role

Location
Remote
Workplace
Remote
Employment
Salary
USD 101,840–165,490/yr
Apply on the employer’s site

AI/ML Engineer 2 Job Details | Day & Zimmermann Careers AI/ML Engineer 2 We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies.

Modify Cookie Preferences Accept All Cookies

Skip to main content

  • Jobs
  • All Careers
  • American Ordnance
  • D&Z Corporate Careers
  • Day & Zimmermann - Munitions Plants Careers
  • D&Z of Canada Corporation
  • D&Z MC Careers
  • DZConneX Careers
  • Mason and Hanger Careers
  • SOC Careers
  • Yoh Careers
  • We Are D&Z
  • How We Hire
  • Our People
  • Diversity & Inclusion
  • Veteran's Resources
  • Why Work With Us
  • Our Brands
  • Sign In

Language

  • English (United Kingdom)
  • English (United States)

Employee Login

  • Jobs
  • All Careers
  • American Ordnance
  • D&Z Corporate Careers
  • Day & Zimmermann - Munitions Plants Careers
  • D&Z of Canada Corporation
  • D&Z MC Careers
  • DZConneX Careers
  • Mason and Hanger Careers
  • SOC Careers
  • Yoh Careers
  • We Are D&Z
  • How We Hire
  • Our People
  • Diversity & Inclusion
  • Veteran's Resources
  • Why Work With Us
  • Our Brands
  • Sign In

Language

  • English (United Kingdom)
  • English (United States)

Employee Login

Job Description Apply now

  • Apply Now
  • Start applying with LinkedIn

Start

  • Please wait...

Job Alerts Link

AI/ML Engineer 2

Job Location

United States (Remote)

Teams

IT

Req Id

3430

Posting Start Date

7/23/26

Job Type

Full-Time

Work Type

Remote

Job Description

Job Summary

Responsible for the end-to-end design, development, and deployment of advanced AI and machine learning solutions in support of D&Z AI initiatives. This senior engineering role requires equal expertise in generative AI application development and traditional machine learning, spanning the delivery of LLM-based agents, RAG systems, MCP (Model Context Protocol) servers, and predictive models to production. The AI/ML Engineer 2 owns complex projects independently, drives technical architecture decisions, evaluates and integrates emerging AI tools and frameworks, and mentors junior team members through code review and technical guidance. This role collaborates directly with cross-functional stakeholders to scope, design, and integrate AI/ML solutions into business processes, and communicates complex technical concepts clearly to both technical and non-technical audiences.

This position is open to remote candidates; however, preference will be given to candidates who are local to one of our office locations or willing to relocate to work in a hybrid capacity.

Responsibilities

  • Designs, builds, and deploys production-grade generative AI applications including AI agents, RAG chatbots, workflow automations, and MCP servers using modern frameworks and vector databases.
  • Designs, develops, and deploys production-grade predictive models using machine learning techniques across regression, classification, clustering, and time series.
  • Authors custom skills, prompts, slash commands, and evaluation harnesses to accelerate team delivery and improve AI application quality, using AI coding tools such as Claude Code, Codex, and Cursor.
  • Defines and owns production monitoring, drift detection, online/offline metrics, and retraining strategies for AI/ML systems; applies statistical methods and evaluation frameworks to validate outputs and drive iterative improvement.
  • Owns data engineering and pipeline infrastructure underlying AI/ML systems, including retrieval architectures, embeddings, context engineering, and model training/fine-tuning workflows.
  • Reviews code, mentors junior engineers, and contributes to team-wide engineering standards, documentation, and internal knowledge management patterns. Presents results and delivers live demonstrations of AI/ML solutions to technical and executive audiences.

KSAs (Knowledge, Skills, and Abilities)

  • Deep hands-on experience building production LLM applications with leading providers (Anthropic, OpenAI, Google, open-source models); expertise in prompt engineering, context engineering, retrieval-augmented generation (RAG) with vector databases, AI agent design, tool use, and Model Context Protocol (MCP) server development; experience authoring custom skills and building evaluation harnesses for LLM systems.
  • Proficiency in ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow); strong foundation in statistical analysis, hypothesis testing, feature engineering, model optimization, deployment, and monitoring of predictive models across regression, classification, clustering, and time series; ability to design and validate experiments, define online/offline metrics, and apply quantitative methods to production problems.
  • Strong proficiency in Python as the primary language across ML and AI application development; comfort writing production-grade, maintainable, well-tested code.
  • Strong SQL skills with expertise in data extraction, cleaning, transformation, and pipeline development for structured and unstructured data; experience deploying ML/AI workloads across on-premises infrastructure and cloud platforms (AWS, Azure, GCP).
  • Proficient in Git, branching strategies, code review, and CI/CD pipelines; experience with containerization, API development, and observability (logging, tracing, cost and token monitoring) for LLM applications; proficient use of AI coding tools (Claude Code, Codex, Cursor) including configuring them, authoring custom skills and commands, and integrating them into team workflows; familiarity with guardrails and security considerations for production AI systems.
  • Ability to lead technical discovery with stakeholders, make architecture decisions, review code, mentor junior engineers, and raise the technical bar across the team.
  • Skilled at creating dashboards, data visualizations, live demos, and technical presentations to convey complex AI/ML findings to technical and non-technical stakeholders.
  • Experienced in gathering requirements, working in cross-functional teams, and producing clear documentation, user guides, and technical reports.

Minimum Qualifications

  • Bachelor’s Degree in Arts/Sciences (BA/BS) in IT, Computer Science, or related field highly preferred Required
  • Will consider 7 years relevant experience in lieu of degree
  • 4+ years of relevant experience
  • Great attitude and team player.
  • Successful completion of background screening process.

Essential Functions

  • Visual acuity (e.g., needed to prepare and analyze data, to transcribe documents, to view a computer, to read, to inspect objects, to operate machinery)
  • Manual Dexterity (e.g., picking, pinching, typing, or other working that uses the fingers)
  • Grasping (e.g., use of hand to apply pressure)
  • Hearing
  • Talking
  • Capacity to think, concentrate and focus over long periods of time
  • Ability to write complex documents in the [English] language
  • Ability to read complex documents in [English] language
  • Capacity to express thoughts orally (e.g., accurately, quick and loudly convey spoken instructions to workers)
  • Capacity to reason and make sound decisions
  • Ability to regularly perform all job functions at Company’s office or work site

Compensation and Benefits

In compliance with this state’s pay transparency laws, the salary range for this role is $101,840.00 - $165,490.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. (The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements).

We care about our employees and it shows. Our staff receive a competitive salary and a comprehensive benefits package which includes medical/Rx, dental and vision coverage; life, AD&D and disability insurance; flexible spending accounts; 100% paid maternity leave for up to 12 weeks, parental leave, family leave, other paid time off; voluntary benefits and discount programs to meet our employees’ individual needs including pet insurance for our furry family members!

Apply now

  • Apply Now
  • Start applying with LinkedIn

Start

  • Please wait...

Notices to Applicants

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Stay Safe During Your Job Search

Fraudulent recruiting communications have become increasingly common. Emails from Day & Zimmermann recruiters will only come from an @dayzim.com, @aollc.com, or @yoh.com email address. Day & Zimmermann will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Day & Zimmermann directly before responding or sharing personal information.

Diversity, Inclusion & Equal Employment Opportunity

Day & Zimmermann is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated and promoted based on their contributions to our Company. Our collective strength is rooted in over a century of diverse employees and businesses, commitment to success, and delivery on promises made. Federal and state Equal Employment Opportunity laws prohibit employment discrimination based on race, color, religion, sex, sexual orientation, age, national origin, citizenship status, veteran status and disability status. Day & Zimmermann is committed to providing an equal opportunity work environment in full compliance with these laws. If you are an individual with a disability and you require an accommodation in the application process, please email reasonableaccommodation@dayzim.com, and please specify which position you are interested in, including job title and location.

  • Careers Home
  • View All Jobs
  • Privacy Policy
  • Employee Information and Income Verification
  • Cookie Consent Manager

© 2023 Day & Zimmermann. All rights reserved.

×

Cookie Consent Manager

When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer.

Required Cookies

These cookies are required to use this website and can't be turned off.

Required Cookies

Show More Details Required Cookies Provider

Description

Enabled

SAP as service provider

We use the following session cookies, which are all required to enable the website to function:

  • "route" is used for session stickiness
  • "careerSiteCompanyId" is used to send the request to the correct data center
  • "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor
  • "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another

Cookies from provider SAPasserviceprovider are required and cannot be turned off

Social Cookies

These cookies serve ads that are relevant to your interests. You may freely choose to accept or decline these cookies at any time. Note that certain functionality that these third parties make available may be impacted if you do not accept these cookies.

Consent to all Social Cookies

Show More Details Social Cookies Provider

Description

Enabled

LinkedIn

LinkedIn is an employment-oriented social networking service. We use the Apply with LinkedIn feature to allow you to apply for jobs using your LinkedIn profile. Opting out of LinkedIn cookies will disable your ability to use Apply with LinkedIn.

Cookie Policy

Cookie Table

Privacy Policy

Terms and Conditions

Consent to cookies from provider LinkedIn

Confirm My Choices Accept All Cookies

Skills

  • Machine Learning
  • Generative AI
  • LLM
  • Retrieval-Augmented Generation
  • Model Context Protocol
  • Vector Databases
  • Claude Code
  • Codex
  • Cursor
  • Embeddings
  • Anthropic
  • OpenAI
  • Prompt Engineering
  • scikit-learn
  • XGBoost
  • PyTorch
  • TensorFlow
  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • Git