Cohere Health

Healthcare

StaffMachineLearningEngineer

Hyderabad, Telangana, India
The Brief

“Staff Machine Learning Engineer at Cohere Health. Skills: Machine Learning, Deep Learning, Python, NLP, Cloud Platforms, Production ML Systems. Design, build, and deploy advanced machine learning systems for retrieval, classification, prediction, and generative use cases. Apply advanced statistical and ML techniques to extract insights from large-scale structured and unstructured healthcare datasets”

What You'll Achieve.

Powering and scaling machine learning capabilities within our Intake product; Automate decision-making; Improve data quality; Reduce administrative burden for clinical teams; Deploy production-grade ML systems that directly impact how members and providers experience Cohere Health; Contribute to broader Enterprise ML initiatives; Drive data-informed decision-making; Shape ML strategy and performance tracking across the organization

Industry & Context.

Healthcare
Problems you'll solve

Complex clinical and operational intake workflows; Uncover hidden drivers; Inform strategic decisions; Define problem statements; Forming falsifiable hypotheses; Designing rigorous evaluation frameworks

What They're Looking For.

Must Have

Master's degree in Computer Science, Data Science, Machine Learning, or a closely related quantitative field, 7+ years of professional experience in applied machine learning or data science, Ownership of production ML systems, Deep expertise in Python, Hands-on experience building and deploying deep learning models for NLP tasks, Understanding of experimental design, model evaluation, and optimization for real-world production environments, Experience leveraging cloud platforms across the ML lifecycle (training, deployment, monitoring), Proven ability to collaborate with product, business, and clinical partners to drive data-informed decision-making, Excellent written and verbal communication skills

Nice to Have

PhD preferred, Experience with generative AI, large language models, agentic systems, or Retrieval Augmented Generation (RAG), Experience driving automation in healthcare or regulated environments, Familiarity with healthcare workflows such as claims, coding, utilization management, or network operations, Experience working with unstructured healthcare data (e.g., clinical notes, OCR, document understanding), Hands-on experience with AWS tools such as SageMaker Studio

What You'll Do.

and deploy advanced machine learning systems for retrieval

and generative use cases

Apply advanced statistical and ML techniques to extract insights from large-scale structured and unstructured healthcare datasets

Lead model development across the ML lifecycle

including experimentation

Develop and oversee scalable

reusable codebases and ML infrastructure to support production use cases

Drive experimentation by defining problem statements

forming falsifiable hypotheses

and designing rigorous evaluation frameworks tied to business outcomes

and present ML insights and results to technical and non-technical stakeholders

including executive leadership

Serve as a technical mentor and advisor to junior engineers

Contribute as an expert advisor across multiple initiatives

helping shape ML strategy and performance tracking across the organization

How You'll Work.

Team & Collaboration

Partner closely with clinical operations, product, and engineering teams; Collaborate cross-functionally with product managers, clinicians, data engineers, BI engineers, and design teams; Proven ability to collaborate with product, business, and clinical partners to drive data-informed decision-making; Serve as a technical mentor and advisor to junior engineers; Contribute as an expert advisor across multiple initiatives

Communication Scope

Excellent written and verbal communication skills; Experience presenting to both technical and non-technical audiences

Free ATS check

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