Machine Learning

Machine Learning / Deep Learning Architect (Dicpm/Medical Imaging) Who we are: - At CitiusTech, we constantly strive to solve the industry's greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world's leading Healthcare and life sciences organizations and our partners. Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives. Our vision: - To inspire new possibilities for the health ecosystem with technology and human ingenuity. What's in it for you :- As a Machine Learning / Deep Learning Architect you will: Lead the design of ML/DL architectures for multi-modal data (imaging, clinical, omics) in both exploratory and GxP-regulated environments. Integrate Gen AI and conversational analytics to create intelligent workflows and next-gen solutions. Develop proofs of concept and validate models for mission-critical healthcare applications. Key Responsibilities Design ML/DL architecture for multi-modal data (imaging, clinical, omics) supporting algorithms development in exploratory and GxP regulated environments Architect and Design Algorithims applications portability for internal and external deployments in regulated environment Build scalable pipelines for training, inference, and model deployment Handle model life cycle 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 Gen AI integration and LLM usage for intelligent workflows & conversational analytics GxP and SaMD validate models Required Skills & Experience 15 years of experience Extensive experience with AWS ML / Deep Learning services(HPC with job schedulers) e.g., SageMaker, EC2 GPU instances, EKS etc. Extensive experience with ML Ops Extensive experience working in validated environments Extensive experience with python-based ml / deep learning frameworks Knowledge of imaging standards Worked in radiology & digital pathology Worked in ophthalmology / neurology / oncology disease areas Location: - San Francisco, CA (Onsite 3 days/Week) 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. Life at CitiusTech We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance. Rated by our employees as the 'Great Place to Work for' according to the Great Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us. Join CitiusTech. Be You. Be Awesome. To learn more about CitiusTech, visit Disclosures: - If you require assistance or accommodation during the application process due to a disability, please contact [praveena.praveen@citiustech.com]. 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.