Job Description: Requirement: Design and implement machine learning models for predictive analytics and AI applications.

Preprocess and analyze structured and unstructured data for model readiness.

Develop and optimize algorithms for classification, regression, clustering, and deep learning.

Integrate ML models into production systems using MLOps best practices.

Collaborate with cross-functional teams including data engineers, product managers, and business analysts.

Monitor and maintain deployed models for performance and accuracy.

Ensure compliance with data governance, security, and privacy standards.

Required Skills And Qualifications: Programming: Robust proficiency in Python (pandas, Num

Py, scikit-learn, Tensor

Flow/PyTorch).

Data Handling: Experience with SQL and data manipulation techniques.

Machine Learning: Solid understanding of supervised and unsupervised learning, neural networks, and ensemble methods.

Statistics: Knowledge of regression, distributions, hypothesis testing, and statistical modeling.

Big Data Tools: Familiarity with Hadoop, Spark, Hive.

📌 Ml Engineer Mississauga (Canada)
🏢 Cynet Systems
📍 Canada