Data Scientist with Machine Learning Engineer1 week ago Be among the first 25 applicantsKey ResponsibilitiesExplore, clean, and analyze structured and unstructured datasets.Apply statistical techniques to generate insights and support business decisions.Develop predictive models using regression, classification, clustering, NLP, or time‐series methods.Conduct hypothesis testing, A/B experiments, and exploratory data analysis (EDA).Machine Learning EngineeringBuild, train, and fine‐tune ML models using frameworks such as TensorFlow, PyTorch, Scikit‐learn.Develop and maintain end‐to‐end ML pipelines, including feature engineering, model training, evaluation, and versioning.Deploy ML models into production using MLOps pipelines and tools like MLflow, Kubeflow, SageMaker, or Vertex AI.Implement monitoring, retraining strategies, and improve model performance.Optimize models for scalability, latency,



and resource efficiency.Must-HaveBachelor's or Master's degree in Data Science, Computer Science, Statistics, AI/ML, or related field.3–7+ years of experience as a Data Scientist, ML Engineer, or similar role.Strong programming skills in Python (NumPy, Pandas, Scikit‐learn, Matplotlib, etc.).Experience with ML frameworks (TensorFlow, PyTorch).Solid understanding of machine learning algorithms, statistics, and data modeling.Experience deploying models in production (Docker, APIs, cloud deployment).Knowledge of SQL and experience with relational and NoSQL databases.Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, DVC).Seniority levelEntry levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesIT Services and IT Consulting

📌 Data Scientist With Machine Learning Engineer (Ottawa)
🏢 Tek Tron IT
📍 Ottawa