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Cigna | Hiring | Software Engineering Advisor (Machine Learning) | BigDataKB.com | 08-04-22

Job Location: Hartford, CT


In this role you will be advocating, educating and ensuring that machine learning (ML) teams across the enterprise are following best practices around the preferred technology stacks. As a member of the newly formed Machine Learning Center of Excellence, this position will use in-depth knowledge and experience to oversee the writing and modifying of complex software applications. This position will also create detailed specifications, conduct quality assurance reviews of peer’s application programming, and act as a resource for team members with less experience.


Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

Analyzing the ML algorithms that could be used to solve a given problem

Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Verifying data quality, and/or ensuring it via data cleaning

Supervising the data acquisition process if more data is needed

Defining validation strategies

Defining the preprocessing or feature engineering to be done on a given dataset

Defining data augmentation pipelines

Training models and tuning their hyper parameters

Analyzing the errors of the model and designing strategies to overcome them

Deploying models to production

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2+ years’ experience and proven expertise in Machine Learning

Proven expertise with Python and machine learning libraries such as scikit-learn and pandas

Proven expertise building REST APIs to operationalize ML models

Proven expertise with ML Ops tools such as Git and Jenkins

Proven experience visualizing and manipulating big datasets

Expertise building NLP, Computer Vision and Time Series Machine Learning models highly desired

Expertise with Deep learning frameworks such as TensorFlow or Keras highly desired

Expertise with AWS and/or Azure Services related to Machine Learning highly desired

Experience with Spark, Hadoop , matplotlib, Spacy, BERT, GPT, OpenCV, H20.ai, Domino Data Labs, and/or Jupyter Hub are pluses

For this position, we anticipate offering an annual salary of $95,900 – $159,800, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

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Helping our customers achieve healthier, more secure lives is at the heart of what we do. While you take care of our customers, we’ll take care of you through a comprehensive benefits program that helps you be at your best. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and best in class well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and dozens of corporate discounts on essentials you use every day. For more details on our employee benefits programs, please visit the “Life at Cigna” tab on our careersite: www.cigna.com/careers

About Evernorth

Evernorth, Cigna Corporation’s health services segment, exists to elevate health for all. We’re building on our legacy and redefining health care as we know it. Unbiased in how we think, we create without limitation. We partner without constraints, deliver value differently and act in the interest of humanity. Solving across silos, closing gaps in care, and empowering clients, customers, and people everywhere to move onward and upward. When you work with us, you’ll be empowered to solve the problems others don’t, won’t or can’t. Join us. What difference will you make?

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: [email protected] for support. Do not email [email protected] for an update on your application or to provide your resume as you will not receive a response.

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