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Added 4 mins ago
VH
Licensed Practical Nurse PACT
Veterans Health Administration
Jackson, TN
- $39,933 to $65,198 USD / year
The primary Care LPN is a member of the Core Team, working as a Clinical Associate (CA).
Added 10 mins ago
VH
Registered Nurse-Nurse Educator-Sterile Processing
Veterans Health Administration
Seattle, WA
- $87,285 to $161,201 USD / year
Insurance: Federal health/vision/dental/term life/long-term care (many federal insurance programs can be carried into retirement)
Added 21 mins ago
VH
Registered Nurse Community Care
Veterans Health Administration
Grand Junction, CO
- $87,267 to $150,275 USD / year
…and use of health information solutions that serve to assess, document, exchange, and track care coordination information. The CC Coordinator will utilize delegation of authority, if…
Added 21 mins ago
VH
Registered Nurse-BLS/ACLS Coordinator/REdi Program Manager
Veterans Health Administration
Harlingen, TX
- $77,349 to $158,093 USD / year
Insurance: Federal health/vision/dental/term life/long-term care (many federal insurance programs can be carried into retirement)
Added 24 mins ago
Quality Systems Associate
GRIFOLS, S.A.
CO-Pueblo, CA
…flexible scheduling to meet business needs. Performs basic document review and employee observations. Communicates openly with the CQM on issues noted during reviews. Ability to understand…
Added 32 mins ago
US
Child and Youth Program Assistant CY-01/02
United States Army Installation Management Command
West Point, NY
- $19 to $26 USD / hour
Completion of Skill Level DoW standardized training courses OR Child Development Associate (CDA) or Military School-Age (MSA) Credential OR 12 semester hours of college credit in early…
Added 51 mins ago
US
Child and Youth Program Assistant CY-01/02
United States Army Installation Management Command
Joint Base Lewis-McChord, WA
- $19 to $25 USD / hour
Completion of Skill Level DoW standardized training courses OR Child Development Associate (CDA) or Military School-Age (MSA) Credential OR 12 semester hours of college credit in early…
Added 57 mins ago
CODE ENFORCEMENT OFFICER III
City of Stonecrest
Stonecrest, GA
…and gathers information; and takes and files photographs to document…
Added 57 mins ago
CODE ENFORCEMENT OFFICER I
City of Stonecrest
Stonecrest, GA
…and gathers information; and takes and files photographs to document…
Added 57 mins ago
CA
ACCOUNTANT
Customs and Border Protection
Indianapolis, IN
- $50,930 to $80,991 USD / year
Added 57 mins ago
CA
Financial Program Specialist
Customs and Border Protection
Indianapolis, IN
- $50,930 to $80,991 USD / year
Added 1 hour ago
Associate Therapist
BACA Management LLC
Berkeley, CA
Associate Therapist (ASW, AMFT, APCC) - Berkeley, CA - Part Time
Added 2 hours ago
Test Technician
ManpowerGroup
Franklin, MA
…troubleshooting skills, a detail-first mindset, and the ability to document results clearly, which will align successfully in the…
Added 2 hours ago
Stockroom Associate I
Neotech
Westborough, MA
Use a digital volt multi-meter (DVM) to read component values and document values on SMT load sheets.
Added 2 hours ago
FM
Sr. Principal Integration Engineer - Cloud Solutions
Fresenius Medical Care
Waltham, MA
- $137,000 to $229,000 USD / year
Evaluate architectural alternatives and technical tradeoffs, establish reusable engineering patterns, and document solution designs, technical decisions, dependencies, and operational…
Added 3 hours ago
Lead Teacher
The Goddard School of Edmond, OK
Edmond, OK
Assessment and Documentation: Observe, assess and document children’s learning and development to inform activities and share insights with families
Added 3 hours ago
J
Senior IT Project Engineer
Jobgether
Remote, United States
- $105,000 to $115,000 USD / year
Document all work accurately within the ticketing system and follow established service delivery procedures.
Added 3 hours ago
Patient Appointment Coordinator
UCM
Burr Ridge, IL
In this role, the Patient Appointment Coordinator will obtain, verify, and input demographic, insurance and referring physician information as required, document messages electronically…
Added 3 hours ago
Patient Appointment Coordinator
UCM
Burr Ridge, IL · IL
In this role, the Patient Appointment Coordinator will obtain, verify, and input demographic, insurance and referring physician information as required, document messages electronically…
Added 3 hours ago
AG
Benefits Service Center Specialist
Alera Group
UNAVAILABLE
- $21 to $22.25 USD / hour
Founded in 2017, Alera Group is one of the nation's leading independent insurance and financial services firms. We combine the strength of a national organization with the personalized…
Added 3 hours ago
Temporary Associate
Tapestry, Inc.
Las Vegas, NV
Note: This document serves only as a sample of job duties and responsibilities and does not include an exhaustive list of all performance requirements.
Added 3 hours ago
Sales Associate III-6
Tapestry, Inc.
Las Vegas, NV
Note: This document serves only as a sample of job duties and responsibilities and does not include an exhaustive list of all performance requirements.
Added 3 hours ago
Temporary Associate
Tapestry, Inc.
Sweetwater, FL
Note: This document serves only as a sample of job duties and responsibilities and does not include an exhaustive list of all performance requirements.
Added 3 hours ago
CI
Equipment Maintenance Associate
Corning Incorporated
Phoenix, AZ
- $29 to $30.5 USD / hour
Equipment Maintenance Associate is responsible for performing skilled maintenance, repair and operational upkeep tasks on solar panel manufacturing equipment within a designated area. This…
Added 4 hours ago
Psychiatric Care Technician/Certified Nursing Assistant
Dept Behavioral Health/Develop
Staunton, VA
State Role Title: Direct Service Associate III

Jobgether

Lead ML/AI Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead ML/AI Engineer based in the United States.

Take a leading role in building the production infrastructure that turns machine learning predictions into measurable actions and outcomes across healthcare markets. You will own the engineering behind a real-time decision platform, connecting models, care teams, payer systems, and feedback loops. Combining AWS-native services with a Databricks lakehouse, you will establish scalable, secure, and cost-efficient systems that operate under strict protected health information (PHI) controls. You will define technical standards for decisioning, streaming, MLOps, and generative AI applications while remaining hands-on with critical components. Working closely with data science, engineering, medical economics, clinical, and operations teams, you will ensure that models are reliable, measurable, and ready for production. This is a senior individual contributor position with significant technical ownership and influence over the platform's long-term architecture.

Accountabilities

As Lead ML/AI Engineer, you will own the engineering foundations that connect model outputs to real-world decisions, ensure reliable feedback and measurement, and establish production standards across the ML/AI platform. Your responsibilities will include:

• Own the decisioning and feedback layer connecting model scores to actions, including action selection and ranking, holdout and experiment assignment, outcome capture, production ROI calculations, and pipelines measuring the impact of actions and channels.

• Lead the engineering implementation, auditability, and reproducibility of production savings calculations in collaboration with medical economics and data science teams.

• Design event-driven, real-time integrations between model outputs and operational systems, including streaming pipelines, versioned schemas, data contracts, replay mechanisms, event ordering, idempotency, and failure handling.

• Define and maintain integration contracts with partner teams to ensure reliable data exchange and system interoperability.

• Establish cost-to-serve standards by defining compute, streaming, inference, and LLM spending budgets at the model and decision levels, making cost a release criterion alongside latency and accuracy.

• Set production standards for ML models, including CI/CD, model registries, alerting, drift monitoring, coverage, and calibration across different cohorts, markets, and payers.

• Build and maintain model promotion gates to ensure that models and ranking systems meet production requirements before deployment.

• Own the target architecture and technical roadmap for the AWS-native infrastructure and Databricks lakehouse, including infrastructure as code, IAM, secure data handling, containerized inference, and managed foundation-model services under PHI controls.

• Define technical direction and production standards for generative AI applications, including LLM pipelines and agentic workflows, with appropriate evaluation, retrieval, guardrails, and cost controls.

• Collaborate with data scientists on modeling and measurement approaches, medical economics teams on savings methodology, and engineering teams on shared pipelines, interfaces, and contracts.

• Establish engineering standards covering code reviews, automated testing, reproducibility, documentation, and release discipline.

• Lead architecture and design reviews, document technical decisions, and mentor engineers and data scientists on system design and production engineering practices.

• Represent the team's technical direction and recommendations to R&D leadership, finance, clinical, and operations stakeholders.

Requirements

The ideal candidate is an experienced ML/AI engineering leader who has built and operated production systems that influence real-world decisions and measure their impact. You should combine strong software and infrastructure expertise with technical leadership, sound engineering judgment, and the ability to collaborate across multidisciplinary teams.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

• At least 8 years of experience in ML engineering, MLOps, or software engineering, including 4+ years operating machine learning systems in production.

• At least 2 years of experience serving as the technical lead or architect of a production ML or decisioning system.

• Demonstrated experience building or operating prescriptive production systems, such as recommendation, decisioning, prioritization, or experimentation platforms that allocate constrained resources against measurable outcomes.

• Production experience with AWS data and machine learning services, as well as infrastructure-as-code tools such as Terraform, CDK, or CloudFormation.

• Production experience with Databricks, PySpark, Delta Lake, MLflow, or equivalent technologies.

• Hands-on expertise designing and operating event-driven or streaming systems using technologies such as Kinesis, Kafka, or equivalent, including schema or contract management.

• Strong Python and SQL skills, with practical experience operating production ML workloads such as training pipelines, model serving, feature systems, or ML platform tooling.

• Experience implementing CI/CD for ML workloads and monitoring models and pipelines, including calibration across heterogeneous populations.

• Proven ability to establish engineering standards, improve team practices through code reviews, and mentor technical colleagues.

• Willingness and ability to travel up to 10% for onsite meetings, team collaboration, and company events.

Preferred Qualifications:

• Experience building and evaluating machine learning models using scikit-learn, XGBoost, or PyTorch.

• Exposure to healthcare economics or value-based care, including savings methodologies, attribution, and payer contract constraints.

• Experience with dbt and lakehouse data modeling.

• Familiarity with healthcare data, including claims, pharmacy, eligibility, prior authorization, and electronic health records (EHR), as well as PHI handling requirements.

• Experience with uplift modeling, bandit algorithms, sequential decisioning, or holdout-based measurement in production.

• Experience with containerized model serving and staged or canary deployment strategies.

• Familiarity with Amazon Bedrock or other managed foundation-model platforms operating under a HIPAA Business Associate Agreement (BAA).

• Experience with agentic frameworks and production retrieval systems.

• Demonstrated experience building or operating LLM-based applications, including evaluation frameworks and guardrails.

Core Competencies:

• Engineering Mentality: Identifies common technical challenges and builds reusable platforms that make future model deployments faster and safer.

• Scientific Approach: Treats system designs as hypotheses, instruments performance, and adapts based on measurable evidence.

• Simplicity: Avoids unnecessary complexity and creates maintainable systems for future users and engineers.

• Ownership: Takes systems from design through deployment and monitoring, remaining accountable for their real-world performance and outcomes.

• Collaboration: Works effectively across data science, data engineering, software engineering, medical economics, clinical, and operations teams to establish clear interfaces and shared standards.

• Communication: Explains technical systems, costs, and business impact in clear terms that clinical and financial stakeholders can use.

Benefits

• Remote-first work environment, with the option of a hybrid arrangement in Nashville.

• Generous paid time off (PTO) and holiday plans.

• Paid parental leave and support for work-life balance, flexibility, and autonomy.

• Medical, dental, and vision insurance starting on Day 1.

• Life and disability insurance.

• Wellness resources and an employer HSA contribution.

• 401(k) retirement plan with employer matching contributions.

• Opportunity to contribute to meaningful healthcare initiatives and improve patient outcomes through technology.

• Inclusive and collaborative working environment that encourages honest feedback, diverse perspectives, and authenticity.

• Commitment to equitable compensation and employee well-being.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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