Thryve Digital - Senior ML Engineers - Chennai / Hyderabad

Role Summary:

This role demands a machine learning 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

Role: Senior ML Engineers

Experience: 5 - 7 years

Work Locations: Chennai & Hyderabad

Work Model: Hybrid

Shift: 3 PM -12 AM

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.
• Keep abreast with new tools, algorithms and techniques in machine learning and work to implement them in the organization.

Experience:

• Overall Experience we are looking for 5 - 7 Years (Development and Deployment).
• 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.

Required skills:

• 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.
• Willingness and ability to stay up to date on new ML/AI technologies and their potential impact on the company.