Senior Machine Learning Engineer (NLP/Python)

VTRAC Consulting Corporation; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Senior Machine Learning Engineer with expertise in NLP and deep learning. This role offers the chance to design and optimize machine learning models that drive key business outcomes. You'll work with cutting-edge technologies, including BERT and transformer models, utilizing frameworks like TensorFlow and PyTorch. The ideal candidate will balance technical skills with practical problem-solving in a collaborative environment. If you have a passion for machine learning and want to make a significant impact, this opportunity is for you!

Qualifications

• Strong foundation in machine learning concepts and algorithms.
• Proven expertise in NLP and transformer models like BERT.
• Hands-on experience with deep learning tools and frameworks.

Responsibilities

• Design and implement machine learning models to solve business problems.
• Perform data analysis and feature engineering for modeling.
• Collaborate with stakeholders to align models with business objectives.

Skills

Machine Learning Concepts

Natural Language Processing (NLP)

Python

Deep Learning Frameworks (TensorFlow, PyTorch)

Data Preprocessing

Feature Engineering

Transfer Learning

Tools

TensorFlow

PyTorch

NumPy

Pandas

Scikit-learn

Job description

VTRAC Consulting Corporation

Intelligent Solutions

Thank you for applying to VTRAC opportunities. Please email your resume as an MS-WORD document in confidence Subject: Senior Machine Learning Engineer (NLP/Python), Attention: [e-mail] or call: [phone].

Position #: 251158
Position: Senior Machine Learning Engineer (NLP/Python)
Position Type: CONTRACT (11-month)
No. of Positions: 1
Location: Hybrid, Toronto

Description
This is an exciting opportunity for a skilled Machine Learning Engineer with expertise in Natural Language Processing (NLP) and deep learning to design, build, and optimize machine learning models that support key business goals. This role involves working with cutting-edge technologies such as BERT and transformer-based models, leveraging deep learning frameworks like TensorFlow or PyTorch, and driving model accuracy through data preprocessing, optimization, and transfer learning techniques. The ideal candidate is both analytical and hands-on, able to balance technical excellence with practical problem-solving in a collaborative team environment.

Responsibilities

• Design, develop, and implement machine learning and deep learning models to solve complex business problems.
• Perform exploratory data analysis, preprocessing, and feature engineering to prepare datasets for modeling.
• Train, fine-tune, and evaluate models using frameworks (TensorFlow or PyTorch), particularly with BERT and other transformer-based architectures.
• Conduct experiments and apply appropriate ML algorithms to extract insights from structured and unstructured data.
• Monitor and improve model performance through validation strategies, hyperparameter tuning, and optimization techniques.
• Collaborate with stakeholders to align models with business objectives and define measurable success metrics.

Requirements

• Strong foundation in machine learning concepts, algorithms, and statistical techniques.
• Proven expertise in NLP, including working with BERT and transformer models for tasks such as sentiment analysis and language understanding.
• Proficiency in Python and experience with key libraries like NumPy, Pandas, and Scikit-learn.
• Hands-on experience with deep learning tools, such as TensorFlow or PyTorch, including model development and tuning.
• Knowledge of transfer learning and the ability to adapt pre-trained models to domain-specific datasets.

We thank all candidates in advance. Only selected candidates for interviews will be contacted. For other exciting opportunities, please visit us at www.vtrac.com . VTRAC is an equal-opportunity employer.

Toronto. Houston. New York. Palo Alto