Description

You will design, develop, and maintain machine learning models and AI algorithms for business applications. You own the full lifecycle from data preprocessing and feature engineering to model deployment and monitoring.

Responsibilities

• Design and implement machine learning models using TensorFlow, PyTorch, and scikit-learn.
• Execute software solutions, including technical troubleshooting and debugging for multiple components.
• Monitor and optimize deployed AI systems for performance and reliability.
• Apply statistical methods and data structures to solve complex technical problems.
• Leverage SDLC toolchains to improve automation and deployment efficiency.

Required Skills

• 5+ years of professional software engineering experience with formal training or certification.
• Strong proficiency in Python for data science and software development.
• Hands-on experience with deep learning frameworks: TensorFlow and PyTorch.
• Proficiency in scikit-learn for traditional machine learning tasks.
• Solid understanding of data structures, algorithms, and statistical methods.
• Experience with cloud platforms: AWS, Azure, or GCP.
• Strong background in data preprocessing, feature engineering, and model evaluation.

Key Skills

Education

Any Graduate