Machine Learning Engineer

Machine Learning with Python (Lead)

Toronto, ON

Full Time Role

Experience: 10+ Years

About the Role:

We are seeking a passionate and experienced Lead Data Scientist who thrives on solving complex data puzzles and transforming data into actionable insights.

With over 14 years of expertise, especially in healthcare, logistics, and enterprise sectors, you will lead innovative projects, mentor teams, and drive data-driven decision-making to improve outcomes for stakeholders.

Required Skills & Experience:

Technical Skills:

Expert in Python libraries:

Sweetviz, sklearn, pycaret, scrapy, pandas, pytorch, NumPy, matplotlib, TensorFlow, SciPy.

Strong foundation in Statistics:

hypothesis testing, regression analysis, probability distributions, dimensionality reduction.

Proficient in SQL &

Data Warehousing:

ETL/ELT, data modeling, performance tuning, database design, on-premise and cloud databases.

Extensive experience in Machine Learning:

hyperparameter tuning, regression, classification, clustering, ensemble methods, LightGBM, Skope-rules, Azure ML.

Advanced NLP proficiency:

Spacy, Word2Vector, Zero-shot, Transformers, Ontology API.

Deep Learning & Computer Vision:

CNN, Yolo, Object Detection, Generative Models.

Cloud Technologies:

Azure ML, Data Factory, Synapse, Databricks, Azure SQL/Postgres, Azure DevOps, Power BI.

Working knowledge of databases:

PostgreSQL, SQL Server, Oracle, MongoDB.

Web Services & APIs:

RESTful, SOAP, Flask, Cherrypy, Azure endpoints.

DevOps & Containerization:

Docker, Azure Pipelines, Git.