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Key Responsibilities
- Collect, process, and analyze large volumes of structured and unstructured data from various sources.
- Develop and deploy machine learning models and algorithms for predictive analytics, classification, clustering, etc.
- Design data pipelines and ETL processes to automate data flow.
- Collaborate with data engineers and software developers to implement scalable data architectures.
- Interpret model results, visualize insights, and communicate findings to stakeholders.
- Monitor model performance and retrain models as necessary.
- Ensure data quality, integrity, and compliance with data governance standards.
- Strong proficiency in Python/R and SQL.
- Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with big data tools and platforms like Spark, Hadoop, or Databricks.
- Solid understanding of statistics, data mining, and data wrangling techniques.
- Familiarity with cloud services (AWS, GCP, Azure) and MLOps tools.
- Knowledge of version control (Git) and deployment strategies.
Key Skills
Ranked by relevance
machine learning
data mining
tensorflow
big data
pytorch
hadoop
cloud
spark
mlops
git
sql
aws
gcp
etl
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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
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AI/ML Engineer
2025-12-10
Full-time
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United Kingdom
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Engineering