Remote Data Jobs • MLOps

As a Principal AI Architect, you will lead the design and delivery of advanced AI solutions across industries, combining deep technical expertise with strategic client engagement. You will lead AI strategy workshops, translate business challenges into scalable AI architectures, and implement end-to-end AI/ML solutions. You will also build and operationalize MLOps pipelines using cloud-native tools.

We are looking for a Senior Data Scientist passionate about transforming data into valuable insights. If you have experience in Python, SQL, SAS, and are proficient in Machine Learning libraries, this is the ideal opportunity for you! This role involves conducting exploratory data analysis to discover patterns, developing predictive models, and implementing NLP techniques.

Focus on clinical outcomes research to develop and refine data-driven methods that help us understand and quantify the impact of sleep, recovery, and daily behaviors on long-term health outcomes. Your work will help bridge wearable data with clinical insights, shaping how individuals and healthcare providers understand wellness, prevention, and recovery.

Lead development of NLP-based classification systems for ICD-10 code identification from clinical charts and encounters. Design and implement deep learning models using PyTorch and transformer architectures for medical text analysis. Implement comprehensive MLOps frameworks including CI/CD pipelines for model deployment. Build and optimize machine learning models for accurate risk adjustment coding and HCC classification. Collaborate with engineering teams to integrate ML/NLP solutions into production systems.

This position will play a critical role within a cross-functional team, delivering powerful solutions, to build industry-leading analytics, data, and technology platforms to help reimagine health care. This is a hands-on, senior-level Data Scientist role, requiring a combination of business/stakeholder consulting and data analysis, including using machine learning methods. The role will generate insights, build models, and develop analytical approaches.

BlueConduit is seeking a Machine Learning Operations / Data Scientist to integrate data science work into production code, embedded in our software. This involves building and deploying machine learning pipelines to predict risk in water distribution infrastructure. You will build automated processes using AI tools, integrate data science code with Software Engineering, and support clients with data analysis.

Define and execute the AI/ML roadmap aligned to objectives. Run an AI opportunities and triage process and establish AI governance. Partner with Clinical Ops, PV/Drug Safety, Biostatistics, Regulatory, QA, IT/Security, and commercial client teams to translate needs into high-value AI solutions.

We are seeking a highly skilled and motivated Machine Learning Engineer/AI Developer with 3+ years of hands-on experience to join our dynamic team. The ideal candidate will have deep expertise in designing, developing, and deploying ML models and AI systems using Python. This role will also encompass 50% Data Engineering work such as pipeline development and python heavy ELT and thus cloud engineering experience is critical.

As the Senior Manager of Data Science, oversee the development and implementation of advanced AI and machine learning solutions that enhance client offerings. This role entails hands-on leadership of a team comprised of machine learning engineers, business analysts, and data scientists, ensuring effective execution of product roadmaps and strategic initiatives to address industry challenges.