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4 weeks ago

Bengaluru, India Winning Edge Full time

Were Hiring : AI Architect Healthcare AI SolutionsLocation : Bengaluru | Hybrid Youll Do : - Architect cutting-edge AI, NLP & computer vision platforms- Drive model lifecycle management & AI governance- Build insights from complex healthcare datasets- Champion cloud-native AI solutions : - 10+ yrs in AI/ML, 5+ yrs in AI architecture- Deep expertise in TensorFlow, PyTorch, Scikit-learn- Strong healthcare domain knowledge & interoperability standards- Cloud, MLOps & data engineering Requirements : Expertise : - 5+ years of experience in healthcare AI, with a strong understanding of workflows, medical terminologies, and healthcare interoperability standards- Proven ability to design AI systems that support decision-making, predictive analytics, health management, Proficiency : - 10+ years in software engineering, data science, or AI, with 5+ years in AI/ML architecture roles.- Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision applied to healthcare.- Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.- Experience with cloud platforms (AWS, Azure) and MLOps tools (MLflow, SageMaker).- Strong understanding of data engineering pipelines, ETL processes, and real-time data & Strategic Experience : - Demonstrated success in designing scalable, secure, and high-availability AI architectures in healthcare settings.- Experience with model lifecycle management, including monitoring, retraining, and drift detection in clinical environments.- Ability to assess and mitigate bias, fairness, and explainability issues in AI models.- Familiarity with enterprise architecture frameworks and AI governance Behavioral Skills :- Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed- Strong teamwork, problem-solving, and analytical skills- Strong understanding of Pharma Quality Standards and Practices- Proven leadership in cross-functional teams, including business teams, data scientists, and IT professionals.- Strong communication skills to convey complex AI concepts to non-technical stakeholders, including healthcare executives and regulatory bodies.- Experience in strategic planning, vendor evaluation, and AI capability building within healthcare organizations. (ref:hirist.tech)

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