Machine Learning Engineer / Data Scientist

Title : Machine Learning Engineer / Data Scientist
Type: Hybrid / Contract
Location: Toronto, ON

Must Haves:

*Deep Understanding of hashtag#MachineLearning Concepts: Proficiency in fundamental machine learning concepts, algorithms, and techniques.
*Expertise in Natural Language Processing (hashtag#NLP): Knowledge of NLP techniques and models, especially hashtag#BERT and other transformer-based models, for tasks like text classification, sentiment analysis, and language understanding.
*Experience with hashtag#DeepLearning Frameworks: Proficiency in deep learning libraries such as hashtag#TensorFlow or hashtag#PyTorch. Experience with implementing, training, and fine-tuning BERT models using these frameworks is crucial.
*Data Preprocessing Skills: Ability to perform text preprocessing, tokenization, and understanding of word embeddings.
*Programming Skills: Strong programming skills in hashtag#Python, including experience with libraries like hashtag#NumPy, hashtag#Pandas, and hashtag#Scikit_learn.
*Model Optimization and Tuning: Skills in optimizing model performance through hyperparameter tuning and understanding of trade-offs between model complexity and performance.
*Understanding of Transfer Learning: Knowledge of how to leverage pre-trained models like BERT for specific tasks and adapt them to custom datasets.

If you’re interested kindly attach your updated resume over here…
manideep.amalapurapu@vantagerms.com