Machine Learning Engineer

On behalf of our public sector client, Affinity is looking for a Machine Learning Engineer to design and develop machine learning systems to solve real-world problems, aligning models with business objectives. Analyzes and processes data, selects and implements optimal algorithms, and runs tests to validate performance. Ensures data quality and manages resources to meet project deadlines. Collaborates with teams to deliver scalable, high-impact AI solutions.

Responsibilities:

• 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

• Experience managing available resources such as hardware, data, and personnel to meet deadlines

• Experience analyzing machine learning algorithms and ranking them by success probability for a given problem

• Experience exploring and visualizing data to gain understanding and identifying differences in data distribution that could impact model performance

• Experience verifying data quality and performing data cleaning

• Experience supervising the data acquisition process when additional data is needed

• Experience finding available datasets online for training

• Experience defining validation strategies

• Experience defining preprocessing or feature engineering steps for a given dataset

• Background in statistics and computer programming

• A team player with a track record of meeting deadlines, managing competing priorities, and maintaining strong client relationships

Qualifications:

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.

Affinity Earn:

Know someone who’s great for this, or any of our open roles? Earn up to $4,000/year for each successful referral through Affinity Earn. You can also earn up to $50,000 for helping us find new clients. Learn about our referral program at https://affinity-group.ca/earn/ or browse our jobs & follow us at https://www.linkedin.com/company/affinity-staffing/jobs/

About Affinity:

Affinity Group is a technology and business consulting and services company. We believe in creating long term relationships between clients and consultants that foster a mutually beneficial partnership. Affinity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit and business need.

For more information on Affinity, please visit www.affinity-group.ca

Job Number: 12155