CitiusTech
Machine Learning / Deep Learning Architect
CitiusTech, San Francisco, California, United States, 94199
Machine Learning / Deep Learning Architect (Dicpm/Medical Imaging)
CitiusTech
is a global provider of healthcare technology solutions. This role focuses on designing and deploying machine learning and deep learning architectures for multi‑modal medical data.
Base pay range $200,000.00/yr - $220,000.00/yr
As a Machine Learning / Deep Learning Architect you will:
Lead the design of ML/DL architectures for multi‑modal data (imaging, clinical, omics) in exploratory and GxP‑regulated environments.
Integrate Gen AI and conversational analytics to create intelligent workflows and next‑generation solutions.
Develop proofs of concept and validate models for mission‑critical healthcare applications.
Key Responsibilities
Design ML/DL architecture for multi‑modal data supporting algorithm development in exploratory and GxP regulated environments.
Architect and design algorithm application portability for internal and external deployments in regulated environments.
Build scalable pipelines for training, inference, and model deployment.
Ensure compliance with 21 CFR Part 11, HIPAA, GxP, and SaMD standards.
Collaborate with cross‑functional teams to align architecture with regulatory and operational requirements.
Create proof of concept for important areas.
Integrate Gen AI and LLM usage for intelligent workflows & conversational analytics.
Validate models for GxP and SaMD.
Required Skills & Experience
15 years of experience.
Extensive experience with AWS ML / Deep Learning services (e.g., SageMaker, EC2 GPU instances, EKS).
Extensive experience with ML Ops.
Extensive experience working in validated environments.
Extensive experience with Python‑based ML / Deep Learning frameworks.
Knowledge of imaging standards.
Experience in radiology & digital pathology.
Experience in ophthalmology / neurology / oncology disease areas.
Location San Francisco, CA (or other locations as negotiated)
Educational Qualifications
Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Salary Range
The estimated salary range for this position is $230,000 to $260,000 annually. Final compensation will be based on experience, skills, and location.
We offer a comprehensive benefits package including medical, dental, and vision insurance, paid time off, parental leave, and other benefits.
This posting complies with applicable pay transparency laws in states such as California, Colorado, New York, New Jersey, Illinois, and others.
CitiusTech is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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is a global provider of healthcare technology solutions. This role focuses on designing and deploying machine learning and deep learning architectures for multi‑modal medical data.
Base pay range $200,000.00/yr - $220,000.00/yr
As a Machine Learning / Deep Learning Architect you will:
Lead the design of ML/DL architectures for multi‑modal data (imaging, clinical, omics) in exploratory and GxP‑regulated environments.
Integrate Gen AI and conversational analytics to create intelligent workflows and next‑generation solutions.
Develop proofs of concept and validate models for mission‑critical healthcare applications.
Key Responsibilities
Design ML/DL architecture for multi‑modal data supporting algorithm development in exploratory and GxP regulated environments.
Architect and design algorithm application portability for internal and external deployments in regulated environments.
Build scalable pipelines for training, inference, and model deployment.
Ensure compliance with 21 CFR Part 11, HIPAA, GxP, and SaMD standards.
Collaborate with cross‑functional teams to align architecture with regulatory and operational requirements.
Create proof of concept for important areas.
Integrate Gen AI and LLM usage for intelligent workflows & conversational analytics.
Validate models for GxP and SaMD.
Required Skills & Experience
15 years of experience.
Extensive experience with AWS ML / Deep Learning services (e.g., SageMaker, EC2 GPU instances, EKS).
Extensive experience with ML Ops.
Extensive experience working in validated environments.
Extensive experience with Python‑based ML / Deep Learning frameworks.
Knowledge of imaging standards.
Experience in radiology & digital pathology.
Experience in ophthalmology / neurology / oncology disease areas.
Location San Francisco, CA (or other locations as negotiated)
Educational Qualifications
Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Salary Range
The estimated salary range for this position is $230,000 to $260,000 annually. Final compensation will be based on experience, skills, and location.
We offer a comprehensive benefits package including medical, dental, and vision insurance, paid time off, parental leave, and other benefits.
This posting complies with applicable pay transparency laws in states such as California, Colorado, New York, New Jersey, Illinois, and others.
CitiusTech is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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