Back to jobs
New

AI/ML Lead Engineer

United States

About the Role

We are seeking a highly skilled AI Engineering Lead with a background in ML and Full Stack Engineering to join our team and take a leading role in designing and delivering advanced machine learning and predictive analytics solutions for our clients, primarily on the Snowflake platform. As an AI/ML Lead, you will be responsible for leading the end-to-end design, development, and validation of predictive models, including survival/longevity modeling, scenario-based forecasting, and risk-driver analysis, that translate complex operational data into actionable business insight. You will collaborate with data engineering, BI/analytics, and client stakeholder teams to define modeling strategy and deliver production-ready, decision-support solutions.

This is a 5 month contract role with potential for extension or conversion to Full Time Employment

RESPONSIBILITIES

  • Lead the end-to-end design of predictive machine learning solutions, from hypothesis-driven feature identification through model deployment and monitoring.
  • Partner with Data Engineering teams to define, validate, and cleanse the feature pipeline, ensuring proper handling of anomalous data and confirming that all features are knowable at the time of prediction.
  • Design a longevity approach that will combine entity-level segmentation to enable risk and scenario forecasting
  • Evaluate, select, and apply appropriate algorithms and frameworks.
  • Train and test model/feature combinations, calculating accuracy and fit measures (e.g., SMAPE, RMSE, correlation) to identify the best-performing approach and avoid well-fitting but poorly generalizing models.
  • Derive confidence bands and best-case/worst-case ranges from model fit to communicate prediction uncertainty to business stakeholders.
  • Translate model outputs into operational and financial insights, including risk forecasts by segment, key contributing factors, and recommended operational levers, for delivery through BI dashboards such as Tableau.
  • Collaborate with Solution Architecture, Data Engineering, Analytics and development teams to operationalize models into scalable, production-ready pipelines and reporting tools/agentic workflows.
  • Support “what-if” and scenario-planning capabilities that allow clients to model the impact of changes in population mix, referral patterns, or other operational variables.
  • Communicate directly with client stakeholders, including executive, financial, and operational leadership, to gather requirements, present findings, and drive adoption of predictive insights.
  • Identify and mitigate model risk, including data completeness issues, rare-event uncertainty, and confounding variables, using techniques such as ensemble modeling and rigorous back-testing.
  • Establish and champion ML best practices, reusable frameworks, and thorough documentation to support long-term scalability and knowledge transfer.
  • Provide input into project scoping, level-of-effort estimates, and staffing plans for machine learning engagements.
  • Mentor and provide technical guidance to data scientists and ML developers supporting the engagement.

 

QUALIFICATIONS

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
  • 5+ years of hands-on experience building, validating, and deploying machine learning models in production environments; consulting or client-facing project experience strongly preferred.
  • Deep proficiency in Python and core ML libraries (scikit-learn, XGBoost, LightGBM, CatBoost).
  • Experience with survival/time-to-event analysis and/or time-series foundation models strongly preferred.
  • Experience with cloud data platforms, particularly Snowflake (including Snowflake-native ML/Snowpark workflows); familiarity with AWS or Azure a plus.
  • Strong understanding of feature engineering, model evaluation methodology (SMAPE, RMSE, correlation), and uncertainty quantification.
  • Experience partnering with BI/visualization teams (e.g., Tableau) to operationalize model outputs into stakeholder-ready dashboards.
  • Strong customer-facing communication and presentation skills, with the ability to translate complex modeling concepts for non-technical, executive audiences (e.g., CFO, operations leadership).
  • Demonstrated ability to lead a project workstream, including scoping, timeline estimation, and mentoring junior team members.
  • Ability to work across multiple client engagements and with teams across geographical regions.
  • Prior experience in healthcare (Medicare specifically), insurance, or another regulated, data-intensive industry a plus.
  • Working knowledge of data governance and regulatory considerations (e.g., HIPAA) a plus.
  • Ability to work EST hours

 

The anticipated hourly rate for this role is $80-$110 per hour. Final pay rate will be determined based on experience, qualifications and geographic location

We are committed to providing and promoting Equal Employment Opportunity and Affirmative Action to all employees and applicants following all local, state, and federal laws and regulations governing personnel activities. It is our policy to provide and promote equal & affirmative employment opportunity to all employees and applicants following all local, state, and federal laws and regulations governing personnel activities.

 

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Select...
Select...
Select...
Select...
Select...
Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Cleartelligence’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
Select...
Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select...

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 07/31/2029

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.