MLops Engineer

Job Description

Role Summary: This role demandsa machine learning engineer withexpertise in machine learning algorithms, software engineering, and datainfrastructure to build intelligent systems that can learn and make predictionsor 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; masters 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

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