Staff Applied Scientist

Cohere Health, Hyderabad, Telangana, India +1

What you will do

Design, develop and evaluate 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.
Lead model development across the ML lifecycle, including experimentation, training, evaluation, partnering with AI engineering to support deployment, monitoring, and iteration.
Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment
Collaborate cross-functionally with product managers, clinicians, data engineers, BI engineers, and design teams to translate business and clinical needs into robust ML solutions.
Drive experimentation by defining problem statements, forming falsifiable hypotheses, and designing rigorous evaluation frameworks tied to business outcomes.
Review, communicate, and present ML insights and results to technical and non-technical stakeholders, including executive leadership.

Cohere Health, Hyderabad, Telangana, India +1

Design, develop and evaluate 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.
Lead model development across the ML lifecycle, including experimentation, training, evaluation, partnering with AI engineering to support deployment, monitoring, and iteration.
Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment
Collaborate cross-functionally with product managers, clinicians, data engineers, BI engineers, and design teams to translate business and clinical needs into robust ML solutions.
Drive experimentation by defining problem statements, forming falsifiable hypotheses, and designing rigorous evaluation frameworks tied to business outcomes.
Review, communicate, and present ML insights and results to technical and non-technical stakeholders, including executive leadership.

What you need

Must-haves

Master’s degree (PhD preferred) 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, including ownership of production ML systems.
Deep expertise in Python and modern deep learning frameworks (e.g., PyTorch).
Hands-on experience building and evaluating deep learning models (e.g., transformers) for NLP tasks.
Strong understanding of experimental design, model evaluation, and optimization for real-world production environments.
Experience leveraging cloud platforms (AWS preferred) 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, with experience presenting to both technical and non-technical audiences.

Nice-to-haves

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.

ISMS roles and responsibilities

Good knowledge of Information practices.
Assist the manager in all the information security activities implementation and maintenance process.
Ensuring the team and imparted with Competence related to Information security
Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager.

Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

*Subject to change