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Lead Machine Learning Engineer

Roles & Responsibilities

  • Bachelor's degree in statistics, mathematics, engineering, computer science, or a related quantitative or business field, with 5-7 years of related experience (or equivalent).
  • Experience with one or more of the following programming languages and tools: Python, R, SQL, Java, JavaScript, C#, and familiarity with ML algorithms and statistical methods.
  • Experience with cloud compute, Linux, CI/CD, data storage and big data platforms, and deploying ML/AI models; ability to build ML/AI models using common methods in Python and R.
  • Strong communication, analytical, and project management skills; ability to work independently and drive multiple projects to successful completion.

Requirements:

  • Lead the design, development, and research of complex ML systems, models, and schemes applied to large datasets for data modeling and statistical analysis.
  • Identify differences in data distribution that could affect model performance in real-world situations; explore and visualize data to assess quality and perform cleaning as needed.
  • Train, evaluate, tune, deploy, and monitor ML models; rank algorithms by their likelihood of success and translate business objectives into measurable model metrics.
  • Maintain and support ML/AI software platforms; document code and data pipelines; coordinate resources to meet deadlines and deploy predictive models using established software patterns.

Job description

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world.  As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility.
 

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.

Position Purpose: Designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to develop machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions.

  • Leads the design, development, and research around complex Machine Learning (ML) systems, models, and schemes to apply to appropriate datasets for data modeling and statistical analysis

  • Identifies differences in data distribution that could affect model performance in real-world situations

  • Analyzes large and complex use cases of ML algorithms and apply findings to enable business decisions by deriving insights through data visualization

  • Leads the maintenance and support of ML/AI software platforms by reviewing and solving issues and running ML/AI models

  • Communicates business objectives and develop complex models that help to achieve them, along with metrics to track their progress

  • Leads the writing of complex software documentation and complex software code to extract data from a variety of databases and data sources

  • Manages available resources such as hardware, data, and personnel so that deadlines are met and deploy predictive models using established software patterns

  • Leads the analysis of the ML algorithms that could be used to solve a given problem and rank them by their success probability

  • Explores and visualizes data to gain an understanding of it and verify data quality, and/or ensure data quality via data cleaning

  • Analyzes errors of the model and implements strategies to overcome errors

  • Performs other duties as assigned

  • Complies with all policies and standards

Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 5 – 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.
Technical Skills:

  • Experience with one or more of the following: C#, Database Design, Java, JavaScript, Machine Learning and Machine Learning Algorithms, Python, R (Programming Language), SQL, Statistics

  • Experience with Continuous Integration, Linux and Predictive Modelling

  • Experience with compute clouds, creating database schemas, continuous deployment

  • Experience building ML/AI models using common methods within R and Python

  • Knowledge of Open CV Linux

Soft Skills:

  • Seeks to acquire knowledge in area of specialty

  • Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions

  • Ability to work independently

  • Demonstrated analytical skills

  • Demonstrated project management skills

  • Demonstrates a high level of accuracy, even under pressure

  • Demonstrates excellent judgment and decision making skills

  • Ability to communicate and make recommendations to upper management

  • Ability to drive multiple projects to successful completion

Pay Range: $121,500.00 - $224,900.00 per year

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules.  Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status.  Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.


Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

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