Description

You build and deploy data-driven ML predictive models to automate processes and improve reporting.

This role is on-site.

Responsibilities

• Develop and implement ML predictive models for intelligent automation.
• Assess, analyze, and organize large datasets to extract meaningful insights.
• Optimize machine learning models for improved performance and accuracy.
• Integrate ML solutions into existing systems with cross-functional teams.
• Monitor and maintain deployed models for accuracy and efficiency.

Required Skills

• 6+ years of experience in machine learning, data engineering, or software development.
• Proficiency in Python and ML frameworks like TensorFlow and PyTorch.
• Experience with Data Engineering concepts and Big Data processing.
• Strong understanding of Data Structures and statistical analysis.
• Familiarity with Cloud Platforms including AWS, GCP, or Azure.
• Proven ability to write production-quality code.
• Experience executing tests to validate ML models and algorithms.

Key Skills

Education

Any Graduate