Thryve Digital - Machine Learning Operations Engineer - Google Cloud Platform (4-7 yrs)

Role : Machine Learning Operations Engineer.

Experience : 4 to 7 years.

Work Locations : Ramanujan IT City, Tharamani, Chennai & MindSpace Hi-Tech City, Madhapur, Hyderabad.

Work Model : Hybrid.

Time Zone : 3PM to 12AM IST (Both the way cab will be provided).

Job 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.

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.

Education :

- A bachelor's degree in computer science, data science, applied mathematics, software engineering, or related; master's degree preferred.

- Specialization in applied machine learning or machine learning infrastructure preferred.

Experience :

- 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