Lead AI/ML Engineer

Profile

Description

The Experience Center is transforming Humana into a human-centered, tech-driven company. We are accomplishing this by developing experience-first healthcare software rapidly, flexibly and iteratively. We are a technology incubator for the company and are expanding our capabilities by integrating Data Engineering and Data Science into the balanced team model. The Lead Data Engineer will work alongside data scientists, software developers, designers, and product managers to identify, validate, and adopt new technologies, tools, and practices, and turn these into human-centered experiences for Humana members.

The Lead AI/Machine Learning Engineer will contribute to the development of our data preprocessing and modeling capabilities to drive intelligent applications and products in the healthcare industry as part of Humana's Boston Experience Center. They will work collaboratively within a product team to automate the machine learning process in a big data cloud environment (e.g. GCP, Azure, etc.). They will be an integral part of a team that will design and build ML models and integrate them with other applications and services.

Responsibilities

The Lead AI/Machine Learning Engineer at the Experience Center has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (ML) as well as core engineering skills (e.g. OOP, database schema design, understanding of S.O.L.I.D. principles, etc.). The Lead AI/Machine Learning Engineer pushes forward the strategic development of applications for machine learning and does what it takes to make them successful. In addition the Lead AI/ML Engineer will:

Lead a small team of AI/ML engineers that cross pair with Data Scientists to mentor and shape the progress of the engineering practice

Work collaboratively within a cross-functional balanced team to deliver solutions that meets our business needs.

Work to continuously improve our service delivery and capabilities to deliver impactful experiences in the products we deliver to market.

Act as an external facing business translator whose combined expertise in AI/ML and analytics will enable the incorporation of these practices to drive data driven decisions in practice.

Work on products that are developed in an extreme programming environment. Which means:

Code and pipelines should adhere to Test-Driven Development (TDD)

Engineers typically work in a paired programming environment.

Work fixed office hours from 8am - 5pm Eastern

Have the ability to travel as-needed to meet with team members (typically less than 5% travel).

Required Qualifications

Bachelor's Degree in Computer Science or related field

8 or more years of experience designing, developing, and testing of software applications and/or infrastructure

4 or more years of machine learning engineering experience, including creation of deployment pipelines and production level monitoring of data models

Previous experience of deploying and maintaining machine learning models in production

2 or more years of leading a small team of engineers

Experience writing maintainable, testable, production-grade Python code

Proficient in SQL and creating ETL processes (any of MSSQL, MySQL, PostgreSQL)

Understanding of different machine learning algorithm families and their tradeoffs (linear, tree-based, kernel-based, neural networks, unsupervised algorithms, etc.)

Experience with Agile, Continuous Integration, Continuous Deployment, TDD, Git

Good command of scientific Python toolkit (numpy, scipy, pandas, scikit-learn)

Understanding of time, RAM, and I/O scalability aspects of data science applications (e.g. CPU and GPU acceleration, operations on sparse arrays, model serialization and caching)

Comfortable with Linux-based operating systems Desired Skills

Ability to work in a collaborative environment:

Data Engineers will be members of and work on a Balanced Team (including Product Managers, Designers, Software Engineers, and Data Scientists).

Products are developed in an extreme programming environment.

Code and pipelines should adhere to Test-Driven Development (TDD)

Engineers typically work in a paired programming environment.

Ability to travel as-needed to meet with team members (typically less than 5% travel).

Preferred Qualifications

Experience with Azure environments and toolsets (Databricks, Spark)

Knowledgeable with deployments to Azure infrastructure using terraform

Experience with large-scale machine learning (100GB datasets)

Experience with deep learning libraries and frameworks (TensorFlow, Keras, PyTorch etc.)

Master's Degree

Additional Information

This role will be located in Boston, MA. Studio H preferably.

Willing to consider remote candidates.

As part of our hiring process, we will be using an exciting interviewing technology provided by Modern Hire, a third-party vendor. This technology provides our team of recruiters and hiring managers an enhanced method for decision-making.

If you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in a pre-recorded Voice Interview and/or an SMS Text Messaging interview. If participating in a pre-recorded interview, you will respond to a set of interview questions via your phone. You should anticipate this interview to take approximately 10-15 minutes.

If participating in a SMS Text interview, you will be asked a series of questions to which you will be using your cell phone or computer to answer the questions provided. Expect this type of interview to last anywhere from 5-10 minutes. Your recorded interview(s) via text and/or pre-recorded voice will be reviewed and you will subsequently be informed if you will be moving forward to next round of interviews.

Scheduled Weekly Hours

40

Company info

Humana Inc.
Website : http://www.humana.com