Data AI & ML Jobs

Job Description A leading organization is seeking an AI Platform Engineer with expertise in large language model platforms, agentic workflows, and secure AI solution architecture. This position focuses on designing, customizing, and optimizing AI-powered development workflows while serving as a bridge between technical teams and business stakeholders. The ideal candidate has hands-on experience building autonomous

Job Description A leading organization is seeking a Senior Data Scientist to support advanced forecasting and assumptions analytics initiatives within a healthcare-focused environment. This position combines data science, analytics, and data engineering expertise to evaluate forecasting performance, improve predictive accuracy, and generate actionable business insights. The successful candidate will work with large datasets, develop predictive

Responsibilities Enhance existing data science solutions that support utilization management workflows and decision processes Develop and refine predictive models to improve efficiency, accuracy, and speed of approval pipelines Translate complex business questions into structured analytical approaches and data science solutions Analyze healthcare data to identify patterns, trends, and opportunities for process optimization Collaborate with cross

Job description A leading organization is seeking a Machine Learning Engineer to design, build, and support machine learning and generative AI applications. This position focuses on integrating machine learning capabilities into production systems, with strong emphasis on Python development, large language models, retrieval-augmented generation, cloud-based ML services, and solid software engineering practices. Responsibilities Build and

Job description A leading healthcare technology organization is seeking a machine learning engineer to build, deploy, and maintain production machine learning systems that support clinical and operational decision-making. This position focuses on turning research-grade models into reliable production services, improving model lifecycle management, and building scalable infrastructure for data-intensive machine learning workflows. The machine learning

Responsibilities Develop and apply machine learning models, including techniques such as decision trees and forecasting, to solve business problems Use generative artificial intelligence methods to extract insights from complex document sets, including structured and unstructured text Perform data analysis, feature engineering, and model development using Python Collaborate with cross-functional teams to interpret data, communicate findings,

A leading organization is seeking a mid-level Data Scientist to support a high-visibility initiative focused on applying advanced artificial intelligence to complex healthcare data. This role centers on building an AI-driven utilization management criteria analyzer that helps business stakeholders understand the clinical and financial impact of changing medication utilization strategies. The Data Scientist will work

A fast‑moving, cross‑functional product team is seeking a senior data scientist to support an artificial intelligence–driven document intelligence product that extracts structured data from unstructured documents to power business‑to‑business quoting workflows. This role operates as a senior individual contributor with light leadership responsibility, combining hands‑on model development with squad‑level technical guidance. The position is designed

A fast‑growing digital product organization is seeking a senior data scientist to serve as a cross‑team subject matter expert for insurance plan recommendation engines. This role operates as a senior individual contributor with broad influence across multiple delivery squads, shaping modeling strategy, elevating data science standards, and guiding the evolution of advanced personalization and recommendation

A global organization is seeking a director of applied AI to lead the design, development, and operation of advanced artificial intelligence capabilities within a data and analytics function. This leadership role focuses on transforming data into enterprise value through production‑grade machine learning, generative AI, and agent‑based systems that support autonomous decisioning and multi‑step reasoning. The