Description

You will build and deploy machine learning solutions for production systems.

This role is on-site.

Responsibilities

• Develop and implement AI/ML models for production environments.
• Engineer data pipelines for ML training and serving.
• Manage and maintain the ML lifecycle using MLOps tools.
• Conduct data analysis to inform model development.

Required Skills

• 5+ years of professional experience in AI/ML.
• Proficiency in Data Engineering principles.
• Expertise in Analytics methodologies.
• Hands-on experience with NLP Libraries.
• Familiarity with MLOps tools and practices.
• Strong background in general AI/ML concepts.

Key Skills

Education

Any Graduate