RQ11040 - Sr. Machine Learning Engineer

RQ11040 - Machine Learning Engineer - Senior 1-year contract (250 business days)  - possible extension ONSITE 5 days -  222 Jarvis St. Creates machine learning models and utilizes data to train models Focuses on analyzing data to find relations between the input and the desired output Understands business objectives and develops models that help achieve them, along with metrics to track their progress Designs and develops machine learning and deep learning systems Runs machine learning tests and experiments Implements appropriate machine learning algorithms Must Haves: Deep Understanding of Machine Learning Concepts : Proficiency in fundamental machine learning concepts, algorithms, and techniques. Expertise in Natural Language Processing (NLP) : Knowledge of NLP techniques and models, especially BERT and other transformer-based models, for tasks like text classification, sentiment analysis, and language understanding. Experience with Deep Learning Frameworks: Proficiency in deep learning libraries such as TensorFlow or 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 Python , including experience with libraries like NumPy , Pandas , and 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.