Description
You will design, build, and deploy machine learning models and algorithms.
Responsibilities
- Analyze large-scale datasets to extract actionable insights.
- Optimize model performance and ensure scalability in production environments.
- Collaborate with data scientists, software engineers, and product teams to integrate AI solutions.
- Experiment with different algorithms and techniques to improve model accuracy and efficiency.
- Monitor and maintain deployed models and troubleshoot issues.
Required Skills
- 6+ years of professional experience in ML engineering.
- Strong programming in Python, Java, or C++.
- Proven experience with TensorFlow and PyTorch.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms including AWS, GCP, or Azure.
- Knowledge of Spark and Hadoop.
- Understanding of statistical methods and data analysis.
Preferred Skills
- Experience with deep learning and neural networks.
- Knowledge of NLP, CV, or reinforcement learning.