Data Scientist with Machine Learning Engineer

Tek Tron IT; Canada; On-site; CAD 70,000 - 90,000; Full time

Job summary

A technology consulting firm in Canada seeks a Data Scientist with Machine Learning Engineer skills. This role involves exploring datasets, developing predictive models, and deploying machine learning models using frameworks like TensorFlow and PyTorch. Candidates should have a strong background in data science, solid programming skills in Python, and experience with MLOps tools. The position is full-time and intended for individuals at the entry level.

Qualifications

• 3–7+ years of experience as a Data Scientist, ML Engineer, or similar role.
• Strong understanding of machine learning algorithms and data modeling.
• Experience deploying models in production.

Responsibilities

• Explore, clean, and analyze structured and unstructured datasets.
• Develop predictive models using regression, classification, clustering.
• Build, train, and fine-tune ML models using TensorFlow or PyTorch.

Skills

Programming in Python

Machine learning frameworks (TensorFlow, PyTorch)

Statistical techniques

Data analysis

SQL

MLOps tools

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, AI/ML

Tools

Docker

MLflow

Scikit-learn

Job description

Data Scientist with Machine Learning Engineer

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Key Responsibilities

• Explore, 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 Engineering

• Build, 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-Have

• Bachelor’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).
• Strong 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 level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting