onsite
Entry Level Machine Learning Engineer - SynergisticIT
ML Engineer
Join as an Entry Level Machine Learning Engineer to design, train, and deploy ML models using Python, TensorFlow or PyTorch, and cloud services, while collaborating with data and software teams.
About the role
Key Responsibilities
- Develop, train, and evaluate machine learning models using Python libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Prepare and preprocess data sets, perform feature engineering, and ensure data quality.
- Deploy models to cloud environments (AWS) and monitor performance in production.
- Collaborate with data engineers and software developers to integrate ML solutions into existing applications.
- Document model architecture, experiments, and results for reproducibility.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
- Proficiency in Python and experience with at least one major ML framework (TensorFlow, PyTorch, Scikit-learn).
- Understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms, preferably AWS, for model deployment.
- Strong problem‑solving skills and ability to work in a collaborative team environment.
Skills
pythontensorflowpytorchawssql