Data Scientist / Machine Learning Engineer

ML Model Development & Deployment:

• Develop, deploy, and maintain production-grade Machine Learning models in cloud environments.
• Perform Exploratory Data Analysis and design feature engineering pipelines.
• Build, maintain, and optimize data pipelines that feed and sustain ML models.

Model Monitoring & Collaboration:

• Monitor model performance, health, and drift post-deployment.
• Partner with cross-functional teams to translate business goals into scalable ML solutions.
• Contribute to AI and LLM-based capabilities where applicable.

Must-Have Skills:

• 2+ years of production ML experience in real-world environments.
• Strong Python and advanced SQL capabilities.
• Experience with AWS SageMaker or equivalent enterprise ML platforms.