

AI/ML Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Lead with a contract length of "unknown" and a pay rate of "unknown." Candidates should have 5+ years of experience in deploying ML systems, strong expertise in NLP and healthcare RCM, and be located in "Austin, TX," "San Carlos, CA," or similar hubs.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 11, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Austin, TX
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π§ - Skills detailed
#PyTorch #Classification #AI (Artificial Intelligence) #AWS SageMaker #ML (Machine Learning) #AWS (Amazon Web Services) #SpaCy #Scala #Cloud #Monitoring #NLP (Natural Language Processing) #SageMaker #"ETL (Extract #Transform #Load)" #Deployment #Kubernetes
Role description
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Weβre looking for a passionate and experienced AI/ML Lead to join our team at Natera, where innovation meets real-world impact. If youβre excited about building scalable ML platforms and applying AI to transform healthcare operations and diagnosticsβweβd love to talk to you!
πΉ Role Highlights:
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Lead design and deployment of ML infrastructure in cloud-native environments (AWS, SageMaker, Kubernetes).
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Build applied ML/NLP solutions for automating healthcare workflows (e.g., EOBs, claims, EHRs).
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Drive RCM intelligence: denial prediction, CPT/ICD-10 classification, payer analytics.
β
Own MLOps best practices: CI/CD pipelines, model monitoring, secure data handling (HIPAA-compliant).
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Collaborate cross-functionally to turn data into scalable, business-aligned solutions.
πΉ What Weβre Looking For:
βοΈ 5+ years of experience deploying production-grade ML systems.
βοΈ Strong expertise in NLP, OCR, LLMs, PyTorch, spaCy, Textract, etc.
βοΈ Hands-on experience with healthcare RCM, billing/claims workflows is a major plus.
βοΈ Proven experience in leading projects end-to-endβfrom architecture to delivery.
βοΈ Passionate about innovation in healthtech and mission-driven work.
π Location: Open to remote/hybrid candidates in Austin, TX, San Carlos, CA, or similar hubs.
π© Know someone whoβs a fit? Or interested yourself? Letβs connect!
#hiring #AIjobs #MLjobs #healthtech #RCM #MLOps #LLMs #AWS #NLP #remotejobs