Expert AI Model Builder

5 hours ago

Chennai, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,04,000 - ₹ 1,30,878
Job Title: Artificial Intelligence Developer\

This role is for a skilled Artificial Intelligence Developer to design, develop, and implement scalable AI models and algorithms. The ideal candidate will collaborate with cross-functional teams to translate business requirements into technical specifications, optimize AI pipelines, and integrate models into existing applications, ensuring compliance with relevant regulations.

Key Responsibilities\
  • Design, develop, and implement scalable AI models and algorithms to solve complex problems related to claims processing, fraud detection, risk stratification, member engagement, and predictive analytics within the payer landscape.
  • Collaborate closely with data scientists, product managers, and other engineering teams to translate business requirements into technical specifications and deliver end-to-end AI solutions.
  • Develop and optimize AI model training pipelines, ensuring data quality, feature engineering, and efficient model iteration.
  • Conduct rigorous model evaluation, hyperparameter tuning, and performance optimization using statistical analysis and best practices.
  • Integrate AI models into existing applications and systems, ensuring seamless deployment and operation.
  • Write clean, well-documented, and production-ready code, adhering to high software engineering standards.
  • Participate in code reviews, contribute to architectural discussions, and mentor junior engineers.
  • Stay abreast of the latest advancements in artificial intelligence, healthcare technology, and industry best practices, actively proposing innovative solutions.
  • Ensure all AI solutions comply with relevant healthcare regulations and data privacy standards (e.g., HIPAA).
\Required Skills and Qualifications\

Required Technical Skills:

\
  • Programming Language: Expert proficiency in Python.
  • AI Libraries: Strong experience with PyTorch and scikit-learn.
  • Version Control: Proficient with Git and GitHub.
  • Testing: Solid understanding and experience with Python unittest framework and Pytest for unit, integration, and API testing.
  • Deployment: Hands-on experience with Dockerized deployment on AWS or Azure cloud platforms.
  • CI/CD: Experience with CI/CD pipelines using AWS CodePipeline or similar alternatives (e.g., Jenkins, GitLab CI).
  • Cloud Platforms: Experience with AWS or Azure services relevant to AI workloads (e.g., Sagemaker, EC2, S3, Azure ML, Azure Functions).
\

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