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Added 16 mins ago
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Principal BMS & PMS Controls Engineer
Volta
Remote, United States
- £210,000 to £260,000 GBP / year
Volta is the category-defining, fully vertically integrated AI infrastructure platform – from capital to clusters to software, under a founder-led enterprise. Our mission is The Utility of…
Added 28 mins ago
Senior Software Engineer - Accelerated Kubernetes Runtime Team
NVIDIA Corporation
Remote, United States
…GPU-accelerated Kubernetes runtime distributions. As a Software Engineer on the Runtime team, you will design and build automation systems that enable engineers to seamlessly install,…
Added 49 mins ago
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Alteryx Administrator ( Hybrid)
Cognizant
Buffalo, NY
- $90,000 to $140,000 USD / year
…is designed for an infrastructure/systems administrator or platform engineer with strong experience in Windows Server, Azure IaaS, database connectivity, and enterprise application hosting,…
Added 49 mins ago
SOLUTION ENGINEER
Lumen
Albany, NY
…design and architect solutions utilizing our technology services platform. The successful Solution Engineer must have a strong desire to leverage their technical and sales skills, including…
Added 49 mins ago
Principal Software Engineer - Ai
ServiceNow
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 49 mins ago
Senior Systems Engineer Fuel Cell Systems
Plug Power Inc.
ALBANY, NY
Senior Systems Engineer - Fuel Cell Systems Status: Exempt (Salaried) Department: Fuel Cell Platforms - Systems Engineering Position Summary Plug is building the global hydrogen ecosystem.…
Added 50 mins ago
NU
NBC News Group Technology Internships – Summer 2027
NBC Universal
New York, NY
- $30 to $40 USD / hour
…investigative reporting, and lifestyle entertainment across any platform and screen. NBCUniversal Local is comprised of three individual media groups including the NBC Owned Television…
Added 50 mins ago
NU
Software Engineering Internships – Summer 2027
NBC Universal
New York, NY
- $30 to $40 USD / hour
NBC News Digital, Software Engineering: As a Software Engineer Intern, you will partner with the Product, Operations, Design, and Editorial teams to bring NBC News Digital content to life.…
Added 54 mins ago
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Senior Principal - Red Team Engineer
Jobgether
Remote, United States
- $141,000 to $325,000 USD / year
The Senior Principal – Red Team Engineer will play a leading role in advancing enterprise cybersecurity through sophisticated offensive security research, Red Team operations, and Purple…
Added 1 hour ago
Senior Automation Engineer
IS International Services
Lawrenceville, GA
IS has an immediate need for a Senior Automation Engineer located in the greater metro Atlanta area. Our company provides industry leading compensation and benefits.
Added 1 hour ago
PS
Tooling Evolution Lead Engineer
Pfizer Shared Services (EFSS)
MA · CT · NY
- $162,900 to $271,500 USD / year
…who scout tools in and carry adoption out, and with Tooling Operations, whose usage and cost telemetry is the evidence base your retirement and scale-up decisions run…
Added 1 hour ago
US
Engineering Equipment Operator Leader
United States Army Installation Management Command
Fort Bragg, NC
- $34 to $40 USD / hour
…progress of work status, causes of delays, and overall work operations and problems; General experience in performing work in accordance with drawings, sketches, blue prints,…
Added 1 hour ago
Software Development Engineer, Amazon Customer Service
Amazon.com Services LLC
Seattle, WA
- Grow existing talent and hire new talent to quickly scale the platform to accelerate defect elimination across Amazon.
Added 1 hour ago
Software Development Engineer, ML Symphony, ML-Symphony
Amazon Data Services, Inc.
Santa Clara, CA
…network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards…
Added 1 hour 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 2 hours ago
DevOps Engineer
InterImage
Remote, United States
We are seeking a highly motivated DevOps Engineer to support the Report Authoring and Dissemination (RAD) modernization effort. This initiative focuses on converging multiple authoring,…
Added 2 hours 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 2 hours 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 3 hours ago
Senior Microsoft Platform Engineer
Systems Engineering Solutions Corporation
Alexandria, VA
Work Model: The engineer concurrently manages Tier 3 incidents, recurring operations and maintenance (O&M), and small-scale projects that modernize Microsoft platform capabilities.…
Added 3 hours ago
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Agentic-First Software Engineer (Miami)
Jiffy
Miami, FL
- $150,000 to $265,000 USD / year
…charge on delivering end-to-end features across our e-commerce platform from storefront and checkout to internal tools and platform services while running multiple AI-driven work streams in…
Added 3 hours ago
J
Agentic-First Software Engineer (Relocate to Miami)
Jiffy
Austin, TX
- $150,000 to $265,000 USD / year
…charge on delivering end-to-end features across our e-commerce platform from storefront and checkout to internal tools and platform services while running multiple AI-driven work streams in…
Added 3 hours ago
I
Quantum Software Engineer - Compiler & Control Systems
Infleqtion
Remote, United States
- $145,000 to $170,000 USD / year
This Quantum Software Engineer role will join the Compiler Team within Infleqtion’s Quantum Software organization. The role will design, build, and maintain quantum compilation software,…
Added 3 hours ago
Associate Director, Cyber Operations (Countermeasures)
KPMG LLP
Minneapolis, MN
KPMG is currently seeking an Associate Director, Cyber Operations (Countermeasure) to join our Enterprise Security Services organization.
Added 3 hours ago
Devops Platform Engineer
Advanced Micro Devices, Inc
San Jose, CA
We are seeking a hands-on Platform Engineer to build and operate the infrastructure foundations that enable engineering teams to deliver reliable, scalable, and secure products. This role…
Added 3 hours ago
Hardware Systems Engineer -Data Center/Lab Environment
Advanced Micro Devices, Inc
Secaucus, NJ
…enabling developer productivity by maintaining reliable lab operations, supporting remote access needs, and ensuring systems are properly configured, updated, and compliant with internal…

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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