Description

You will design, build, and validate machine learning models for predictive analytics and AIOps applications.

This role is on-site.

Responsibilities

• Design and develop deep learning and statistical models for predictions.
• Collect, clean, and preprocess large datasets for model training.
• Validate and evaluate model performance on unseen data.
• Implement MLOps practices to streamline model deployment and lifecycle management.
• Create data visualizations to present technical insights to cross-functional teams.

Required Skills

• 7+ years of experience in Machine Learning and Data Science.
• Strong proficiency in Python for data science and engineering.
• Hands-on experience with AIOps and Deep Learning frameworks.
• Proven track record in MLOps implementation.
• Ability to work effectively in cross-functional teams.
• Any Graduate degree.

Preferred Skills

• Experience with statistical modeling for predictive algorithms.

Key Skills

Education

Any Graduate