Artificial Intelligence Systems Engineer

5 days ago

Hyderabad, Telangana, India Thryve Digital Health LLP Full time

About Thryve Digital Health LLP

We are a global healthcare partner that delivers strategic innovation, expertise, and flexibility to our healthcare partners. As a US healthcare conglomerate captive, we have direct access to deeper insights that help us accelerate our learning process and stay ahead of the curve.

Our global collaborative of healthcare, operations, and IT experts creates innovative and sustainable processes for our clients, which keeps their consumers engaged and assists them in managing their future healthcare better. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success.

We are an equal opportunity employer and place a high value on integrity, diversity, and inclusion in our organization. We do not discriminate based on any protected attribute. For more information about our organization, please visit Summary:

This role demands a systems engineer with expertise in machine learning algorithms, software engineering, and data infrastructure to build intelligent systems that can learn and make predictions or decisions based on data.

Key Responsibilities:

  • Understand and translate business and functional needs into machine learning problem statements
  • Translate complex machine learning problem statements into specific deliverables and requirements
  • Design and develop scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements
  • Translate machine learning algorithms into production-level code
  • Collaborate with development teams to test and deploy machine learning models
  • Monitor the performance of deployed models, track data or concept drift, and update or retrain models as needed
  • Ensure adherence to performance standards and compliance with data security requirements
  • Stay up-to-date with new tools, algorithms, and techniques in machine learning and work to implement them in our organization

Requirements:

  • Bachelor's degree in computer science, data science, applied mathematics, software engineering, or related field; master's degree preferred
  • Specialization in applied machine learning or machine learning infrastructure preferred
  • At least 3 years of experience in developing and deploying enterprise-scale machine learning solutions in a software engineering-adjacent field
  • Experience developing and debugging in Python
  • Exposure to architectural patterns of large-scale software applications
  • Knowledge of working on any cloud environment (GCP preferred)
  • Proficiency in deploying machine learning algorithms as production-ready API services
  • Advanced programming skills with Python
  • Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
  • Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management, and operations
  • Ability to work independently and in a fully remote environment

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