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Responsibilities
- Analyze large volumes of structured and unstructured data to uncover trends and insights.
- Develop, test, and deploy machine learning models for classification, prediction, recommendation, or anomaly detection.
- Work closely with data engineers to build scalable data pipelines and ensure data quality.
- Communicate findings clearly through visualizations, presentations, and dashboards.
- Stay current with the latest ML research and apply relevant techniques to business challenges.
- Strong programming skills in Python or R, with hands-on experience in libraries such as Scikit-learn, Pandas, NumPy.
- Solid knowledge of machine learning concepts, algorithms, and evaluation methods.
- Proficiency in SQL and working with relational databases.
- Experience in building and deploying models in production environments.
- Strong analytical thinking and problem-solving skills.
- Experience with cloud platforms (AWS, GCP, or Azure).
- Familiarity with MLOps tools (e.g., MLflow, Airflow, Docker).
- Exposure to big data technologies (Spark, Hadoop).
- Knowledge of NLP, Time Series Forecasting, or Computer Vision.
Key Skills
Ranked by relevance
machine learning
big data
python
docker
pandas
hadoop
mlflow
cloud
numpy
spark
mlops
sql
aws
gcp
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- Posted
- Jun 16, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Canada
- Company
- Tek Tron IT
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity