Machine Learning Engineer (Fresher)

Data Preparation:

• Research, Collect, clean, and preprocess data from various sources to create high-quality datasets for machine learning projects

Model Development:

• Assist in designing, developing, and fine-tuning machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn

Model Training and Evaluation:

• Train machine learning models on large datasets and fine-tune hyperparameters to optimize model performance. Conduct rigorous testing and validation to ensure the accuracy and robustness of models

Feature Engineering:

• Contribute to feature engineering efforts by identifying relevant features and crafting them to improve model performance./

Documentation:

• Maintain comprehensive documentation of code, experiments, and findings to facilitate knowledge sharing within the team.

Collaboration:

• Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to develop end-to-end machine learning solutions.

Stay on top of the latest developments in machine learning and Ai by attending seminars, workshops, and self learning

Perform other related tasks as required

• Welcome fresher, no experience required

• Graduated from related major

• Good communication skills, good English is a plus