Machine Learning Architect

1 day ago


Bengaluru, Karnataka, India Tata Consultancy Services Full time

About the Role

We are seeking an experienced AI/ML Engineer to lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges.

Job Description

The Ideal Candidate

  • Should have 4+ years of experience in data science, machine learning, or AI engineering roles like GenAI, Statistical Analysis, Data Mining, and Data Visualization.
  • Should have experience with software engineering using Java, .net, python or any backend and frontend languages.
  • Should have experience in Deploying and operationalizing ML Ops.
  • Experience in leading and mentoring technical teams is a plus.
  • Should have a proven track record of successfully delivering AI/ML projects from conception to deployment.

Responsibilities

  • Lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges.
  • Collaborate with cross-functional teams, including clinicians, researchers, and IT, to identify business needs and translate them into technical solutions.
  • Develop and implement advanced algorithms and statistical models to solve healthcare-specific problems, such as predictive analytics, patient risk stratification, and medical image analysis.
  • Develop and integrate generative AI models and large language models (LLMs) for tasks such as medical text generation, data augmentation, and synthetic data generation.
  • Optimize and enhance existing machine learning models for better performance and scalability in healthcare settings.
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients' machine learning systems.
  • Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Support model development, with an emphasis on auditability, versioning, and data security.
  • Facilitate the development and deployment of proof-of-concept machine learning systems.
  • Stay updated with the latest advancements in AI/ML technologies and integrate them into ongoing healthcare projects.
  • Mentor and guide junior data scientists and engineers, fostering a culture of continuous learning and improvement.
  • Communicate findings and recommendations by interacting with stakeholders to build requirements and track progress.
  • Ensure data integrity, accuracy, and security, complying with healthcare regulations such as HIPAA.

Requirements

  • 4+ years of experience in data science, machine learning, or AI engineering roles like GenAI, Statistical Analysis, Data Mining, and Data Visualization.
  • 3+ years of experience with software engineering using Java, .net, python or any backend and frontend languages.
  • 3+ years of experience in Deploying and operationalizing ML Ops.
  • Experience in leading and mentoring technical teams.
  • A proven track record of successfully delivering AI/ML projects from conception to deployment.

Salary Range

$150,000 - $200,000 per annum.



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