Machine Learning Engineer
Skills
AlgorithmsAttention To DetailData AnalysisData AnalyticsData ScienceDeep LearningNatural Language Processing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Master's or PhD in Computer Science Data Science Machine Learning or related field
- Proven experience as a Machine Learning Engineer or Data Scientist
- Proficiency in programming languages such as Python R
- Experience with machine learning frameworks such as TensorFlow PyTorch Scikit-learn
- Strong understanding of statistics data analysis and algorithms
- Knowledge of cloud platforms such as AWS Google Cloud Azure
- Excellent problem-solving skills and attention to detail
Nice to have
- Deep learning
- Big data technologies
- Software engineering best practices
- Understanding of NLP computer vision reinforcement learning
Day to day
- Develop test and deploy machine learning models
- Analyze large datasets to extract meaningful insights
- Implement data preprocessing and feature engineering techniques
- Collaborate with data scientists and engineers to build scalable solutions
- Optimize model performance in production environments
- Conduct experiments and fine-tune models for improved accuracy
- Stay updated with the latest research in machine learning
- Document processes models and results