Key Responsibilities
- Develop, train, and deploy machine learning models using TensorFlow and Scikit-learn to address real-world business problems.
- Conduct comprehensive data preprocessing, including cleaning, transformation, and feature engineering for high-quality model inputs.
- Collaborate with cross-functional teams to translate business requirements into scalable ML solutions.
- Monitor, evaluate, and refine model performance to ensure accuracy, efficiency, and reliability in production.
- Document model development, deployment, and performance for knowledge sharing and future improvements.
Requirements
- Strong understanding of machine learning concepts, including supervised/unsupervised learning, neural networks, and deep learning.
- Proficiency in TensorFlow and Scikit-learn for building and deploying ML models.
- Experience with data preprocessing techniques and feature engineering.
- Excellent collaboration and communication skills for cross-functional teamwork.
- Strong problem-solving abilities to resolve complex technical issues.