Data Scientist – Machine Learning

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Title: Data Scientist Machine Learning

Mode: Contract

Location: Canada Remote

Ideal Candidate:

Proficient in Python and able to solve complex problems.
Solid understanding AI/ML/DL algorithms and related statistics. (e.g. regression classification clustering unsupervised algorithms)
Able to build models and experiment with state of art fine techniques to improve model performance.

Essential Responsibilities

4 years of experience in Design develop and deploy machine learning and deep learning models with strong experience in Python development with NumPy Pandas Scikit learn Tensorflow/Pytorch etc
Experience of handling structured/unstructured data Preprocess analyse and visualize large datasets using python libraries like pandas plotly matplotlib seaborn etc.
Conduct thorough data analysis feature engineering and model selection to ensure optimal model performance.
Collaborate with data engineers to integrate models into production system.
Conduct research and stay updated to propose innovative solutions and able to document model development processes performance metrices and findings.
Implement and optimize machine learning algorithms for real-time and batch processing
Strong understanding and experience working with machine learning algorithms including supervised and unsupervised learning
Familiarity with NLP or generative AI techniques (e.g. GANs LLMs)
Experience with any public cloud platforms and familiarity with Cloud Run SQL and other GCP or other equivalent cloud services will be a plus
Good communication and articulation skills
Passion for learning new technologies and solving complex problems

Good to have:

Collaborate with cross functional teams e.g. product engineering data science to define and refine business requirements and translate them into technical specifications
Mentor junior team members and contribute to the development of best practices for AIML development
Contribute to the creation of technical documentation and presentations
Experience with Vertex AI or other AIML platforms is a plus

Skills:

Essential:

Programming: Python (Pandas NumPy Scikit-learn) SQL.
Any Cloud Platforms: Azure AWS GCP(Preferred).

Good to have:

Data Engineering: Airflow Spark Databricks Delta Lake.
MLOps: MLflow DVC Docker Kubernetes CI/CD pipelines.
Data Stores: Snowflake PostgreSQL MongoDB ChromaDB.
Model Deployment: FastAPI Flask RESTful APIs.
Monitoring & Logging: Prometheus Grafana ELK/EFK stack.
Security & Compliance: IAM Key Vault encryption GDPR/SOC2.

Title: Data Scientist Machine Learning Mode: Contract Location: Canada Remote Ideal Candidate: Proficient in Python and able to solve complex problems. Solid understanding AI/ML/DL algorithms and related statistics. (e.g. regression classification clustering unsupervised algorithms) Able to ...

Title: Data Scientist Machine Learning

Mode: Contract

Location: Canada Remote

Ideal Candidate:

Proficient in Python and able to solve complex problems.
Solid understanding AI/ML/DL algorithms and related statistics. (e.g. regression classification clustering unsupervised algorithms)
Able to build models and experiment with state of art fine techniques to improve model performance.

Essential Responsibilities

4 years of experience in Design develop and deploy machine learning and deep learning models with strong experience in Python development with NumPy Pandas Scikit learn Tensorflow/Pytorch etc
Experience of handling structured/unstructured data Preprocess analyse and visualize large datasets using python libraries like pandas plotly matplotlib seaborn etc.
Conduct thorough data analysis feature engineering and model selection to ensure optimal model performance.
Collaborate with data engineers to integrate models into production system.
Conduct research and stay updated to propose innovative solutions and able to document model development processes performance metrices and findings.
Implement and optimize machine learning algorithms for real-time and batch processing
Strong understanding and experience working with machine learning algorithms including supervised and unsupervised learning
Familiarity with NLP or generative AI techniques (e.g. GANs LLMs)
Experience with any public cloud platforms and familiarity with Cloud Run SQL and other GCP or other equivalent cloud services will be a plus
Good communication and articulation skills
Passion for learning new technologies and solving complex problems

Good to have:

Collaborate with cross functional teams e.g. product engineering data science to define and refine business requirements and translate them into technical specifications
Mentor junior team members and contribute to the development of best practices for AIML development
Contribute to the creation of technical documentation and presentations
Experience with Vertex AI or other AIML platforms is a plus

Skills:

Essential: