Were Hiring : AI Architect Healthcare AI Solutions
Location : 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 succeedStrong teamwork, problem-solving, and analytical skillsStrong understanding of Pharma Quality Standards and PracticesProven 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)