Machine Learning Engineer
4 weeks ago
(NeoStats): Machine Learning Engineer (Drive)
- Design, implement, and maintain machine learning models and solutions for clients.
- Build, test, and deploy models using natural language processing, deep learning, and computer vision techniques.
- Evaluate and analyze model performance and suggest improvements.
- Develop and maintain machine learning pipelines and workflows.
- Implement data modeling and feature engineering techniques.
- Use statistical methods to evaluate model performance and identify potential issues, work with clients to understand their needs and provide solutions accordingly.
- Stay up to date with the latest developments in machine learning and ai
Requirements:
- Bachelor's or master's degree in computer science, mathematics, ai, or a related field.
- Minimum 2 years of experience in automated deployment of machine learning models.
- Strong programming skills in python and experience with sql.
- Experience with mlops tools like mlflow, azure mlops, or dataiku, experience with natural language processing, deep learning, and computer vision techniques.
- Experience with machine learning libraries such as tensorflow, keras, and pytorch, strong knowledge of data modeling and feature engineering, experience working with azure data, and ai services.
- Understanding of statistics and machine learning algorithms, strong problem-solving skills and ability to work in a team, excellent communication skills.
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