CINQCARE

Overview

Position Description

CINQ AI is a business unit of CINQ Care Inc. tasked with improving patient outcomes through the use of Artificial Intelligence. CINQ AI operates a portfolio of AI solutions that are uniquely engineered to serve Black and Brown patient populations. Our core capability is an event-based cognitive service capable of optimizing patient care pathways and member engagement to promote specific behaviors from patients, providers, and caretakers that result in higher-quality care.

General Duties:

The Machine Learning Engineer will directly contribute towards the goals of the company by using the expertise in data analysis, statistics, machine learning, and domain knowledge to extract valuable insights, solve complex problems, and inform data-driven decision-making. The person should be responsible for designing, developing, and deploying machine learning models and systems. The ideal candidate should also play an important role in bridging the gap between data science and software engineering, focusing on building scalable and production-ready machine learning solutions.

This position will have the following responsibilities:

Data Engineering: Collect, preprocess, and clean data to make it suitable for machine learning tasks. This may involve data wrangling, feature engineering, and data augmentation.
Model Development: Design, build, and train machine learning models using various algorithms and frameworks (e.g., Correlation, Regression, scikit-learn, TensorFlow, PyTorch) to solve specific business problems.
Feature Selection: Identify relevant features and optimize them for model performance and efficiency.
Quickly develop and iterate on prototype models to test various approaches and hypotheses. This may involve using libraries and frameworks like scikit-learn, TensorFlow, or PyTorch
Model Evaluation: Assess model performance using appropriate metrics, conduct cross-validation, and fine-tune hyperparameters to improve model accuracy and generalization.
Model Deployment: Deploy machine learning models into production environments, often using containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes).
Scalability: Ensure that machine learning solutions can handle large datasets and high traffic loads by optimizing code and architecture.
Monitoring and Maintenance: Implement monitoring and logging systems to track model performance, and proactively address issues that may arise in production.
Data Visualization: Creation of self-serve analytics tools using to democratize access to the analytical datasets and corresponding models as they are developed. Development may occur using SaaS platform or though the development of high-level web applications.
Documentation: Creation of data dictionaries, code repositories and other artifacts needed to transition prototypes into development by engineering teams.

Qualifications

The Machine Learning Engineer should have the following qualifications:

Education. Undergraduate degree in a quantitative field including Economics, Statistics, Data Science, Computer Science, Machine Learning, Engineering, or Physics
Experience. 2-3 years’ experience in relevant technical domain (Machine Learning, Statistics, Econometrics, Predictive Analytics, Data Science, Artificial Intelligence). Experience in management consulting or new company environments is highly attractive. Prior experience in healthcare is not required.
Entrepreneurial. CINQ seeks to fix gaps that have persisted for generations in the delivery of care to Black and Brown populations. This position is accountable for ensuring CINQ is positioned to innovatively deliver on its promise through the use of artificial intelligence.
Communication. Excellent verbal and written communication skills. Ability to clearly articulate and present complex concepts models in an accessible manner to CINQ’s team, investors, partners, and other stakeholders.
Technical Mid-level proficiency in multiple data related domains including Database Management, Machine Learning (Regression, Classification, Time Series, NLP), Data Visualization (Tableau), and familiarity with the environments where they are deployed (Google Cloud, AWS or Azure).
Programming Skills: Proficiency in programming languages such as Python or R, as well as experience with relevant libraries and frameworks.
Machine Learning Knowledge: Strong understanding of machine learning algorithms, techniques, and concepts.
Relationships. Ability to build and effectively manage relationships with business leaders and external constituents.
Culture. Excellent judgement, impeccable ethics, and a strong team player; desire to succeed and grow in a fast-paced, demanding and entrepreneurial Company.

Compensation:

$114,000 - $127,000 annually

Location

CINQ Care Inc. has offices in Washington, D.C. and New York City. The preferred location for this role is in the Washington, D.C / Maryland / Virginia area.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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