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Cyber Engineer – Endpoint Security (R0174787) - IRES (SSFB)
INNOVIM
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INNOVIM is seeking a Cyber Engineer – Endpoint Security to be part of our Missile Defense Division and directly supports the Missile Defense Agency (MDA).
Added 1 min ago
Software Engineer
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KBR is seeking a highly motivated and experienced Software Engineer to be a part of the team that supports the Department of the Air Force’s advanced air platform testing and rapid…
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AI Engineer
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Remote, United States
- $12,500 USD / year
As an AI Engineer at Ajaia, you will build AI-enabled software across both client engagements and internal product initiatives where technical speed, adaptability, and execution quality…
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ServiceNow Developer
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Software Engineer - Site Controller, Energy Storage
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The Site Controller is the "Central Nervous System" of our modular Battery Energy Storage Systems (BESS). It is the platform that allows us to harmonize new and repurposed batteries into a…
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Vice President – Full Java Stack Engineer
ewminds consulting Services
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The Vice President, Project Manager is responsible for leading client onboarding, platform implementation, and strategic enhancement initiatives for BNY Archer Managed Account Services…
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Full Stack Engineer
ewminds consulting Services
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· Proven experience owning both build (development) and run (maintenance/operations) for business-critical applications
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Senior Full-Stack Engineer with AWS
CapTech Consulting
Richmond, VA
- $90,000 to $190,000 USD / year
Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups…
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Senior Full-Stack Engineer with AWS
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Reston, VA
- $90,000 to $190,000 USD / year
Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups…
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Senior Full-Stack Engineer with AWS
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Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups…
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Senior Full-Stack Engineer with AWS
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Charlotte, NC
Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups…
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Senior Full-Stack Engineer with AWS
CapTech Consulting
Atlanta, GA
Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups…
Added 21 mins ago
Senior ML/AI Engineer
GuruLink
Remote, United States
The Senior ML/AI Engineer will take models from prototype into production and keep them healthy, on a platform whose output is used daily by care teams working with real patients. The data…
Added 21 mins ago
Lead ML/AI Engineer
GuruLink
Remote, United States
The Lead ML/AI Engineer is the technical lead for the platform that turns model predictions into real-world actions for patients and care teams. The data science group runs a growing set of…
Added 23 mins ago
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Senior Site Reliability Engineer
AbbVie
Remote, United States
- $96,500 to $183,500 USD / year
AbbVie Information Security is looking for a highly motivated, diligent, and skillful Site Reliability Engineer to join the Cyber Security Engineering (CSE) Team. The CSE Team, working…
Added 24 mins ago
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Backend Software Engineer - Mission Planning Strategy
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San Francisco, CA
- $150,000 to $195,000 USD / year
Loft Orbital is looking for a Backend Software Engineer to join the Mission Platform organization.
Added 24 mins ago
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Backend Software Engineer - Mission Planning Strategy
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Golden, CO
- $140,000 to $190,000 USD / year
Loft Orbital is looking for a Backend Software Engineer to join the Mission Platform organization.
Added 26 mins ago
Digital Platforms Engineer
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Intern - Operations Data Science
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- $25 to $30 USD / hour
…LLM application development; exposure to a cloud data or ML platform (Snowflake, AWS, or similar); experience supporting an operations, supply chain, logistics, or other…
Added 31 mins ago
Market Implementation Specialist
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Added 32 mins ago
Senior Frontend Engineer
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We are looking for a talented and passionate Senior Frontend Engineer to join our software engineering team. You'll build the user-facing side of an extraordinary web-based platform that…
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Forward Deployed Engineer
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Sr. Platform Engineer III (6888)
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As a Sr. Platform Engineer III, you'll provide platform engineering expertise for containerized environments supporting mission-critical workloads, designing and operating Kubernetes…
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DevOps Engineer II
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Reflexive Concepts is seeking a skilled DevOps Engineer II to join our team!
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Automation & Controls Engineer (Mandarin)
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Join Our Team as an Automation and Controls Engineer – Innovate the Future of Manufacturing!

GuruLink

Lead ML/AI Engineer

Remote, United States

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Job details

Apply by: Apr 9, 2027
Posting language: English
Posted: Nov 9, 2026

Original job description

Location: REMOTE / Nashville, Tennessee This job allows you to work remotely. Our client is a venture-backed digital health company improving specialty care for people with joint, back, and muscle (musculoskeletal) conditions. The company pulls together each patient's symptoms, medical history, preferences, and goals, combines that picture with predictive models and current clinical guidelines, and helps the patient choose the treatment most likely to work, then supports them through it.

The company is remote-first with a home base in Nashville, and is growing quickly across new markets and health plan partners. The team is collaborative, curious, and driven by the mission of getting people out of pain.

This Role:

The Lead ML/AI Engineer is the technical lead for the platform that turns model predictions into real-world actions for patients and care teams. The data science group runs a growing set of models and a real-time decision engine: predictions become events, events flow to care teams and health plan systems, and results arrive days later to be measured and fed back. Every piece has to be versioned, replayable, monitored, and cost-effective while handling protected health information.

You will set the engineering standards for the decisioning, streaming, and ML release systems, stay hands-on in the riskiest components, and hold every release to a production bar through design and code review. You will also own how the Databricks lakehouse and AWS services fit together as the platform grows. This is a senior individual contributor role reporting to the company's AI leader, working closely with data science, data engineering, software engineering, medical economics, clinical, and operations teams. The client wants someone who has built systems that choose actions and proved those actions paid off, not only models that predict.

You Will:

Own the layer between a model score and the action taken: action selection and ranking, holdout and experiment assignment, outcome capture, and the pipelines that measure lift by action and channel
Engineer the production savings (ROI) calculation so it is auditable and reproducible, working with medical economics and data science, who own the method
Design the real-time, event-driven integrations that carry model output to the systems that act on it: streaming pipelines, versioned schemas and contracts, replay, ordering, idempotency, and failure handling; own the contracts with partner teams
Set cost budgets per model and per decision for compute, streaming, inference, and LLM usage, and make cost a release criterion next to latency and accuracy
Define the production bar for models and enforce it: CI/CD, model registry, alerting, drift, coverage, and calibration by patient group, market, and health plan; build the promotion gate every model or ranking must clear before going live
Own the target architecture and roadmap for the AWS footprint alongside the Databricks lakehouse: infrastructure as code, IAM and secure data handling, containerized inference, and managed foundation-model services under PHI controls
Set technical direction for production GenAI applications, including LLM pipelines and agentic workflows, with the evaluation, retrieval, guardrails, and cost controls needed to run them safely on patient data
Own team engineering standards: code review, automated testing, reproducibility, documentation, and release discipline; lead design reviews, record architecture decisions, and mentor engineers and data scientists
Represent the team's technical position to research and development leadership, finance, and clinical and operations partners
Travel occasionally (up to roughly 10%) for onsite meetings, team sessions, and company events

Must Have Skills:

8+ years in ML engineering, MLOps, or software engineering, including 4+ years running ML systems in production
2+ years as the technical lead or architect of a production ML or decisioning system
Built or operated prescriptive systems in production: recommendation, decisioning, prioritization, or experimentation platforms that allocate a limited resource against a measured outcome
Production experience with AWS data and ML services and infrastructure as code (Terraform, CDK, or CloudFormation)
Production experience with Databricks, PySpark, Delta Lake, and MLflow, or an equivalent stack
Hands-on design and operation of event-driven or streaming systems (Kinesis, Kafka, or similar) with schema or contract management
Strong Python and SQL, with hands-on production ML work: training pipelines, model serving, feature systems, or ML platform tooling
CI/CD for ML workloads plus model and pipeline monitoring, including calibration across varied patient populations
Track record of setting engineering standards and lifting a team through code review and mentorship
Bachelor's degree in computer science, engineering, or a related field, or equivalent experience

Nice to Have Skills:

scikit-learn, XGBoost, or PyTorch modeling
Value-based care economics: savings methodology, attribution, payer contracts
Healthcare data (claims, pharmacy, eligibility, prior auth, EHR) and PHI
Uplift, bandit, or holdout-based measurement in production
dbt and lakehouse data modeling
Containerized model serving with canary deployments
Amazon Bedrock or similar under a HIPAA BAA
Production LLM apps, agents, and retrieval with evals and guardrails

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