Overview

Develop and deploy machine learning models.

Responsibilities

• Develop, train, evaluate, and deploy machine learning models.
• Build scalable AI/ML solutions for real-world applications.
• Develop and optimize ML pipelines and production workflows.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and product teams.
• Monitor and improve model performance in production.
• Work with large datasets, feature engineering, and model optimization.
• Stay updated with emerging AI/ML technologies.

Qualifications

• 3–6 years of relevant AI/ML experience
• Strong proficiency in Python
• Hands-on Machine Learning experience
• Strong understanding of ML algorithms and model evaluation
• Knowledge of SQL and databases
• Exposure to AWS, Azure, or GCP preferred
• Strong hands-on production experience
• Strong analytical and problem-solving abilities
• Good communication and collaboration skills
• Ability to work in a fast-paced technology environment

Nice to have

• Experience with Generative AI/LLMs