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Senior Software Engineer I- AI/ML

Senior Software Engineer I- AI/ML

Posted 36 days ago

Job Description

This job posting has expired and no longer accepting applications.

As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our web application and data pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry.

They embrace strategies that minimize risk, leaning towards observability, alerting, metrics, high test coverage, and frequent releases that incrementally build value.

Primary Duties:

Develop and implement scalable and performant solutions.

Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes.

Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.

Minimum Qualifications:

BS/BTech (or higher) in Computer Science, Engineering or a related field.

4+ years experience as an engineer building full-stack web applications as part of a cross-functional team.

3+ years of experience working with SQL or other database querying language on large multi-table data sets.

2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.

2+ years of experience coaching other engineers.

Preferred KSA’s:

Proficiency in machine learning algorithms and techniques.

Experience in deploying machine learning models into production environments.

Expertise with statistical data techniques (such as causal inference, syntactic analysis, sampling methods, NLP etc), with experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.

Experience with cloud computing platforms such as AWS, Azure or Google Cloud.

Experience with security and systems that handle sensitive data.