Senior Machine Learning Engineer

GuruLink; Montreal; On-site; CAD 100,000 - 140,000; Full time

Job summary

A Montreal-based tech startup is looking for a Senior Machine Learning Engineer to lead the development of scalable ML solutions. In this role, you will leverage cutting-edge technologies to enhance user experiences and drive business value. The ideal candidate has over 6 years of experience in ML and a strong proficiency in Python and relevant libraries. Join us and work on innovative solutions that transform how audiences travel.

Qualifications

• 6+ years of experience in Machine Learning, Data Science, or a related field.
• At least 2 years of experience in deep learning and software engineering.
• Proven ability to implement and fine-tune LLMs.

Responsibilities

• Lead the development and deployment of machine learning models.
• Collaborate closely with teams to integrate ML solutions.
• Focus on creating low-maintenance, production-ready ML solutions.

Skills

Machine Learning

Deep Learning

Python

Data Science

Statistical Analysis

Natural Language Processing (NLP)

Education

M.S. in Computer Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

Google Vertex AI

Amazon SageMaker

Job description

Location: Montreal, Quebec

Our client is a homegrown Montreal startup. They are transforming the way digital audiences convert online. Their AI-driven affiliate platform empowers publishers, ticketing providers, and content creators to unlock new revenue streams while enhancing user experience. By delivering smarter monetization tools, their partners don't just earn more, they deliver more.

We need a Senior Machine Learning Engineer. In this role, you’ll leverage cutting-edge technologies, build scalable ML solutions, and collaborate with teams to deliver insights and innovations that change how the world travels.


You Will:
•Lead the development and deployment of machine learning models for forecasting and prediction based on tabular data
•Harness the power of LLMs to enhance predictions and unlock new features
•Apply statistical analysis and data science methodologies to derive actionable insights from large datasets, always keeping an eye on optimizing user experiences and driving growth toward our key metrics.
•Spearhead ML projects end-to-end, from conception through deployment, always exploring new technologies to stay ahead of the curve
•Collaborate closely with engineering, product, and business teams to integrate machine learning solutions seamlessly into our ecosystem, ensuring that every ML initiative drives real business value
•Contribute to building onboarding tools and infrastructure to make ML resources accessible across the organization, fostering a culture of innovation
•Focus on creating low-maintenance, production-ready ML solutions, balancing the needs of scalability, maintainability, and rapid deployment

Must Have Skills:

•M.S. in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field
•6+ years of experience in Machine Learning, Data Science, or a related field, with at least 2 years in both deep learning and software engineering
•Strong expertise in developing ML models for tabular data predictions
•Proficiency in Python and libraries like TensorFlow, PyTorch, and scikit-learn
•Strong Math skills, Python numerical libraries and SQL
•In-depth knowledge of NLP, LLMs, Transformers, and modern ML techniques like CNNs, LSTMs/RNNs, and gradient boosting
•Experience with platforms such as Google Vertex AI or Amazon SageMaker for training, deploying, and managing models at scale
•Proven ability to implement and fine-tune LLMs, including expertise in custom embeddings, transformers, and fine-tuning techniques like LoRA
•Strong data science background, including statistical analysis, data cleaning, and visualization with tools like pandas, matplotlib
•Hands-on experience deploying machine learning models in production, collaborating with cross-functional teams, and ensuring seamless integration into broader product ecosystems