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Mid-level GenAI role, metro locations, and popular skillset create high applicant competition.
Core ML/AI skills transfer across industries, though healthcare domain experience provides some advantage.
Explicit 5-7 years and mandatory AI frameworks, programming, and leadership skills imply high filtering.
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Lead development and enhancement of AI models tailored for healthcare applications, ensuring alignment with business requirements and performance standards.
Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate AI solutions into existing systems and oversee end-to-end AI project lifecycle from design to deployment and monitoring.
Conduct data analysis to identify model improvement areas and implement best practices for model training, validation, and testing.
5 - 7 years of relevant work experience in AI project leadership with model enhancement and optimization focus.
Mandatory proficiency in programming languages such as Python, R, or Java.
Strong understanding and hands-on experience with machine learning frameworks/libraries like TensorFlow or PyTorch.
Engineering degree required (BE/ME/BTech/MTech/BSc/MSc). Technical certifications in multiple technologies desirable but not mandatory.
Experienced AI technical leader familiar with healthcare domain applications and delivering AI models at scale within Agile environments.
Proven ability to work cross-functionally and manage end-to-end AI solution delivery including model optimization based on data-driven analysis.
Skilled in contemporary ML frameworks and programming with exposure to NLP, computer vision, MLOps, and cloud platforms like AWS or Azure is advantageous.