AI Data Engineer

🕒 il y a 3 mois

🗻 New Hampshire, New Jersey, +3 états de plus – Distant

🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ⚓ Rhode Island – Remote

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🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

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C the Signs

Site WebLinkedInTous les Emplois

51 - 200 employés

🏥 Santé

⚕️ Assurance santé

🤖 Intelligence artificielle

Healthcare • Healthcare Insurance • Artificial Intelligence

C the Signs est un système innovant de prédiction du cancer conçu pour identifier les patients à risque de cancer aux stades les plus précoces et les plus curables. En utilisant des technologies avancées, des recherches et des preuves scientifiques, C the Signs peut rapidement déterminer à quels types de cancers un patient pourrait être exposé et recommander les tests ou spécialistes appropriés en moins de 30 secondes. Le système soutient les prestataires de soins de santé dans l'amélioration des taux de survie au cancer en offrant une détection précoce et des soins intégrés, allant de la prévention et du dépistage au diagnostic et à la survie. Engagé en faveur de la diversité et de l'inclusion, ce système s'attaque aux inégalités dans les résultats raciaux, bénéficie aux patients dans les communautés rurales et contribue à réduire le fardeau financier lié au diagnostic du cancer. C the Signs se consacre à améliorer les taux de survie et à aider les gens à vivre plus longtemps et en meilleure santé grâce à une détection et des soins précoces du cancer.

Description

• Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets. • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets. • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity. • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models. • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA). • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability. • Document data engineering processes, data models, and data dictionaries. • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

🎯 Exigences

• Required • - Bachelor's degree in Computer Science, Engineering, or a related field. • - Proven experience as a Data Engineer, with a focus on big data technologies. • - Strong proficiency in programming languages such as Python, Scala, or Java. • - Extensive experience with data warehousing, ETL processes, and data modeling. • - Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services. • - Hands-on experience with big data frameworks like Apache Spark for distributed processing. • - Excellent problem-solving skills and the ability to work independently and as part of a team. • - Strong communication and interpersonal skills. • Preferred • - Master's degree in a related field. • - Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7). • - Familiarity with machine learning concepts and LLM fine-tuning processes. • - Experience with data orchestration tools (e.g., Apache Airflow). • Work Authorization: • - Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

🏖️ Avantages

• **Why Join Us?** • Joining **C the Signs** is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. • **Benefits:** • - Competitive salary and benefits package. • - Flexible working arrangements (remote or hybrid options available). • - The opportunity to work on life-changing AI technology that directly impacts patient outcomes. • - Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity. • - Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.