Machine Learning Engineer
SKILLS
FULL DESCRIPTION
Summary
Develop and deploy machine learning models to production, design and implement scalable algorithms to process large datasets, perform model optimization, collaborate with product and engineering teams, and conduct A/B testing and evaluate model performance metrics.
Key Responsibilities
- Develop and deploy machine learning models to production.
- Design and implement scalable algorithms to process large datasets.
- Perform model optimization to ensure high performance and low latency.
- Collaborate with product and engineering teams to integrate AI solutions.
- Conduct A/B testing and evaluate model performance metrics.
Key Requirements
- Proficiency in Python and frameworks like TensorFlow or PyTorch.
- Strong understanding of machine learning algorithms and techniques.
- Experience with data preprocessing and feature engineering.
- Familiarity with cloud platforms like AWS, GCP, or Azure.
- Strong analytical and problem-solving skills.
Responsibilities:
Develop and deploy machine learning models to production. Design and implement scalable algorithms to process large datasets. Perform model optimization to ensure high performance and low latency. Collaborate with product and engineering teams to integrate AI solutions. Conduct A/B testing and evaluate model performance metrics.
Requirements:
Proficiency in Python and frameworks like TensorFlow or PyTorch. Strong understanding of machine learning algorithms and techniques. Experience with data preprocessing and feature engineering. Familiarity with cloud platforms like AWS, GCP, or Azure. Strong analytical and problem-solving skills.