Senior Data Scientist – Generative AI & Machine Learning

Bevertec; Toronto; Hybrid; CAD 110,000 - 117,000; Part time

Job summary

Bevertec is seeking a Senior Data Scientist to lead GenAI and machine learning initiatives in a hybrid Toronto-based role on a 12-month contract. The ideal candidate brings 5+ years of data science experience, strong Python, and hands-on GenAI development using LLM APIs.

You will work on data transformation, model training, and integrating AI bots with tool-use capabilities, while collaborating with cross-functional teams to deliver scalable solutions.

Qualifications

• Bachelor's degree or equivalent experience in a related field.
• 5+ years of experience developing and implementing data science solutions.
• Strong Python programming for ML and GenAI.
• Knowledge of supervised and unsupervised ML, model training/evaluation.
• Experience with SQL and PySpark.
• Data transformation and handling structured/unstructured data.
• Understanding of APIs, microservices and cloud-native apps.
• Hands-on GenAI development with LLMs and frameworks.
• Experience building AI bots with reasoning and tool-use.

Responsibilities

• Develop and deploy data science solutions for GenAI/ML applications.
• Collaborate across teams to integrate models into products.
• Experiment and optimize models for performance and reliability.

Skills

Python

Machine Learning

GenAI

SQL

PySpark

APIs

Cloud-native

LLM APIs

Vector databases

Embedding models

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field

Tools

AWS SageMaker

Glue

Big data technologies

Job description

Job Title: Senior Data Scientist - Generative AI & Machine Learning

Employment Type: Contract

Duration: 12 Months

Location: Toronto

Ideal Rate: $80- $85 (Based on Experience)

Work Arrangement: Hybrid - 3 days onsite per week, including Thursday

Required Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field, or equivalent experience.
• 5+ years of experience developing and implementing data science solutions.
• Strong hands-on Python programming skills for machine learning and GenAI applications.
• Strong knowledge of supervised and unsupervised machine learning, model training, evaluation, and optimization.
• Experience writing complex SQL and PySpark queries.
• Experience with data transformation, manipulation, and structured and unstructured datasets.
• Understanding of APIs, microservices, and cloud-native application development.
• Hands-on experience developing GenAI applications using LLM APIs and frameworks.
• Experience building AI bots or agents with reasoning, tool-use, and integration capabilities.
• Practical experience with RAG, prompt engineering, vector databases, and embedding models.
• Knowledge of fine-tuning methodologies and conversational AI or chatbot development.

Nice to Have

• Experience with AWS AI/ML services, including SageMaker, Lambda, and Bedrock.
• Familiarity with AWS Glue, Glue Catalog, Glue Data Quality, and Step Functions.
• Experience with data warehousing, ETL pipelines, and big data technologies.

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.