Staff Generative AI Scientist

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

💵 $171 000 - $197 000 / an

⏰ Temps Plein

🔴 Expert

🧠 Chercheur en IA

🗣️🇺🇸🇬🇧 Anglais requis

Apache

AWS

Azure

Google Cloud Platform

Keras

Pandas

PyTorch

Scikit-Learn

Spark

Tensorflow

D'où vient cette offre

Publiée sur la page carrières de Cotiviti, pas via un site d'emploi

Repérée par Remote Rocketship il y a 2 mois

Toujours ouverte sur le site de Cotiviti. Vérifiée il y a 4 heures.

Logo of Cotiviti

Cotiviti

5001 - 10000 employés

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

Cotiviti est une entreprise de technologie et d'analytique dans le secteur de la santé, spécialisée dans l'amélioration de l'exactitude des paiements et des performances grâce à des solutions avancées d'analytique de données. Elle collabore avec des régimes de santé, des agences gouvernementales et des prestataires de soins de santé pour fournir des insights qui améliorent la qualité et l'efficacité de la prestation de soins. Grâce à des solutions telles que l'ajustement des risques, la gestion des politiques de paiement et l'engagement des membres, Cotiviti vise à optimiser les résultats financiers et cliniques pour l'écosystème de la santé.

Description

• Deliver solutions that improve healthcare outcomes, reduce healthcare process costs, and/or identify payment integrity issues • Assess the potential value and risks of business problems solvable with machine learning and artificial intelligence • Develop exploratory data analysis approaches to verify hypotheses for AI/ML use cases • Document approaches, thinking, and results using standard methods for collaboration • Prepare final trained models and develop validation test sets for QA • Deploy models into production with production operations and support performance monitoring • Collaborate with other data science teams and support peer projects • Participate in knowledge-sharing sessions • Participate in design sessions to improve the Cotiviti machine learning platform • Provide end-to-end value-based solutions, including data pipelines, model creation, and end-user applications • Complete annual performance review/goal-setting responsibilities and assigned special projects

🎯 Exigences

• Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, or Operations Research, covering Advanced Statistics, Machine learning and AI • Experience with natural language processing techniques including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs • Experience with HuggingFace, Langchain, Llama/Mistral, OpenAI, and vector databases • 7+ years of hands-on data science/AI experience • Experience with pandas, scikit-learn, keras, nltk, TensorFlow/PyTorch, and GPUs • Experience building production-grade machine learning deployments on AWS, Azure, or GCP • Experience working with Apache Spark™ and large-scale distributed datasets • Experience communicating technical concepts to non-technical and technical audiences is a plus • Ability to work independently and collaborate as a team • Ability to properly handle confidential information • Value-driven approach focused on business impact • Ability to handle multiple tasks, prioritize, and meet deadlines • Ability to work within a matrixed organization • Proficiency in required skills and competencies • Flexibility to work with global teams and geographically dispersed US-based teams • Must be able to provide high-speed internet access/connectivity and office setup and maintenance • Must be able to provide a dedicated, secure work area • Must be able to perform duties with or without reasonable accommodation

🏖️ Avantages

• Discretionary bonus consideration • Medical insurance coverage • Dental insurance coverage • Vision insurance coverage • Disability insurance coverage • Life insurance coverage • 401(k) savings plans • Paid family leave • 9 paid holidays per year • 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service • Virtual interviews • Remote work arrangement

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