Senior Applied AI/ML Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Vi

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Vi is a company that leverages artificial intelligence to help health organizations improve member health outcomes and financial returns. The company provides an AI SaaS platform that offers solutions for efficient acquisition, personalized engagement, and predictive retention throughout the member lifecycle. Vi focuses on maximizing acquisition, enrollment, engagement, retention, upsells, and health outcomes with superior ROI. Their platform is designed to lower the cost per acquisition, enhance member engagement and retention, and transform operations with their generative AI technology. Vi works with leading global health enterprises to drive results at scale while ensuring privacy and data security standards are met.

📋 Description

• Own the design and implementation of data and ML pipelines using customer first-party data and Vi’s internal data lakehouse • Prototype predictive insight products and run rapid feasibility studies to assess new commercial opportunities • Identify commonalities between customer engagements to synthesize reusable data capabilities • Own customer data integrations with Vi’s petabyte-scale data lakehouse • Package Vi’s products into repeatable, scalable, automated pipelines

🎯 Requirements

• Deep expertise building large-scale data analytics pipelines with Apache Spark • Comfort using Python and AWS technologies for data engineering and ML • Strong communication skills to interact with technical counterparts across customer accounts to coordinate data integrations • Experience with Apache PySpark, Apache Iceberg, AWS EMR, AWS Glue, and Amazon S3 • Experience with Python, PyTorch, scikit-learn, XGBoost, CatBoost, and MLflow • Experience with AWS SageMaker and Airflow • Experience in the healthcare and life sciences domain is nice to have • Familiarity with ML and statistical modeling methodologies and experimental design is nice to have