AI Solution Architect

About us -Coders Brain is a global leader in its services, digital and business solutions that partners with its clients to simplify, strengthen and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise and a global network of innovation and delivery centers. We achieved our success because of how successfully we integrate with our clients.

Quick Implementation

Experienced Team

One Stop Solution

Ease of Use

Secure

Exp- 12+ Yrs

AI Solution Architect

Location- Chennai,Hyderabad

Permanent-Ascendion

JobDescription

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

12+ years of experience in software development or architecture, with a significant focus on AI and machine learning.

Deep understanding of AI/ML concepts and techniques, including supervised, unsupervised, and reinforcement learning, as well as experience with various AI algorithms and models.

Hands-on experience with cloud computing platforms (e.g., AWS, Azure, GCP), with a strong preference for experience with Google Cloud Platform (GCP) and its AI-related services.

Proven experience in designing and implementing scalable and robust AI solutions within the Healthcare IT domain.

Strong programming skills in languages such as Python, Java, or Scala, as well as experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences.

Proven ability to lead technical discussions and influence decision-making, with a demonstrated track record of successfully driving AI initiatives within an organization.

Experience in working with cross-functional teams and stakeholders, with a strong ability to collaborate and build consensus.

Strong analytical and problem-solving skills, with a demonstrated ability to identify and address complex technical challenges.

Knowledge of healthcare industry standards and regulations (e.g., HIPAA) is required, as well as a strong understanding of the Healthcare IT landscape.

Experience with MLOps practices and tools, with a focus on automating and streamlining the AI development and deployment lifecycle.

Strong leadership skills, with the ability to provide technical guidance and mentorship to project teams.

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