Description

You will build and deploy scalable machine learning models and AI algorithms.

Responsibilities

• Design, implement, and deploy scalable machine learning models and AI algorithms.
• Conduct data preprocessing, feature engineering, and exploratory data analysis.
• Train, test, and optimize models for performance, scalability, and accuracy.
• Monitor and maintain ML pipelines and deployed models in production.
• Collaborate with cross-functional teams to define use cases and deliver AI-driven solutions.
• Document experiments, workflows, and results to ensure reproducibility.

Required Skills

• 4+ years of professional experience in AI/ML development.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Proficiency in Python.
• Experience with TensorFlow and PyTorch.
• Hands-on experience with SciKit-learn.
• Data manipulation skills using Pandas and NumPy.
• Strong SQL skills for data analysis and manipulation.
• Solid understanding of supervised, unsupervised, and deep learning algorithms.
• Ability to apply model evaluation metrics to improve performance.

Preferred Skills

• Experience with cloud platforms including AWS, Azure, or GCP.
• Knowledge of MLOps practices.
• Contributions to open-source AI/ML projects or academic publications.

Key Skills

Education

Bachelor's or Master's degrees