Machine Learning Scientist / Engineer

Job Title : Machine Learning Scientist / Engineer

Length of contract- 12 Months (Possible extension)

Start date : ASAP

Location : Toronto, ON

Hybrid- 2-3 days a week @ Toronto, ON

Interview- 2 rounds (first panel, 45 min)

Machine Learning Scientist / Engineer

We are seeking a highly skilled Machine Learning Scientist / Engineer with deep expertise in designing, building, and deploying scalable ML solutions. The ideal candidate will have hands-on experience across the full machine learning lifecycle, including model development, optimization, and production deployment in cloud environments.

Responsibilities

• Design and implement machine learning models using Python , PyTorch , TensorFlow , and Keras , applying both parametric and non-parametric approaches.
• Develop and optimize deep learning architectures, including CNNs , for complex tasks.
• Build robust CI / CD pipelines for ML systems using tools like Jenkins , GitHub Actions , and ML flow to enable automated testing, deployment, and monitoring.
• Containerize ML applications with Docker and manage deployments using Kubernetes .
• Implement scalable data processing and streaming solutions leveraging Kafka and distributed systems.
• Collaborate with cross-functional teams to deploy ML solutions into production with high reliability and performance.
• Monitor, detect, and address model drift, pipeline drift, and long-term model degradation.

Qualifications