Senior Machine Learning Engineer

Job Description:

Pay Range: $51.20hr - $56.20hr

Requirement/Must Have:

• Deep understanding of machine learning concepts, algorithms, and techniques.
• Expertise in Natural Language Processing (NLP), especially BERT and transformer-based models.
• Proficiency in deep learning frameworks such as TensorFlow or PyTorch.
• Ability to implement, train, and fine-tune BERT models.
• Skills in text preprocessing, tokenization, and word embeddings.
• Strong programming experience in Python using libraries like NumPy, Pandas, and Scikit-learn.
• Experience in model optimization and hyperparameter tuning.
• Understanding of transfer learning and adapting pre-trained models to new datasets.

Experience:

• Experience managing hardware, data, and team resources to meet project deadlines.
• Experience analyzing and ranking machine learning algorithms for given problems.
• Experience exploring and visualizing data to identify issues impacting model performance.
• Experience in verifying data quality and performing data cleaning.
• Experience supervising or conducting data acquisition.
• Experience sourcing training datasets from online repositories.
• Experience defining validation stXXgies and preprocessing pipelines.
• Background in statistics and computer programming.
• Proven ability to work collaboratively and meet deadlines while managing priorities and client expectations.

Skills:

• Deep understanding of ML concepts and methods.
• Expertise in NLP with BERT and transformer models.
• Hands-on experience with TensorFlow or PyTorch.
• Strong Python development skills.
• Proficient in data preprocessing, feature engineering, and model tuning.
• Familiar with leveraging transfer learning in ML model design.