onsite
AI/ML Engineer - SOURCE INTEGRETA
ML Engineer
Entry‑level AI/ML Engineer role focused on building and evaluating machine learning and deep learning models, data preprocessing, and integrating AI features using Python and popular frameworks such as TensorFlow, PyTorch, and Scikit-learn.
About the role
Key Responsibilities
- Collect, clean, and preprocess diverse datasets to prepare them for model training.
- Design, implement, and evaluate machine learning and deep learning models using Python.
- Utilize frameworks such as TensorFlow, PyTorch, and Scikit-learn to develop scalable AI solutions.
- Support the integration of AI features into existing products and services.
- Perform exploratory data analysis to uncover insights and guide model improvements.
Requirements
- Strong foundation in Python programming and data manipulation libraries (e.g., NumPy, pandas).
- Familiarity with machine learning concepts and experience with at least one framework: TensorFlow, PyTorch, or Scikit-learn.
- Understanding of deep learning architectures and basic model evaluation techniques.
- Ability to work collaboratively in a team, follow guidance from senior engineers, and communicate findings clearly.
- Enthusiasm for learning new AI/ML technologies and applying them to real‑world problems.
Skills
pythontensorflowpytorchmachine learningdeep learning