AI Architect

2 weeks ago

Bengaluru, India Winning Edge Full time

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 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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