Looking for highly motivated and talented Machine Learning Engineer for our client.
As a Machine Learning Engineer, you will work closely with our experienced team to develop and implement cutting-edge machine learning models and solutions.
Data Preparation:
Collect, clean, and preprocess data from various sources to create high-quality datasets for machine learning projects.
Collaborate with data engineers and data scientists to ensure data integrity and quality.
Model Development:
Assist in designing, developing, and fine-tuning machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn.
Collaborate with senior engineers and data scientists to implement state-of-the-art algorithms.
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 Updated:
Keep abreast of the latest developments in machine learning and AI by attending conferences, workshops, and self-learning.
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