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Bevertec

Senior Data Scientist – Generative AI & Machine Learning

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Experience: 5+ years of experience developing and implementing data science solutions.
Posting language: English
Posted: Oct 9, 2026

Original 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.

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More about this job

Responsibilities

Develop and implement data science solutions, including machine learning models and generative AI applications. Build AI bots or agents with reasoning, tool-use, and integration capabilities, using approaches such as RAG, prompt engineering, and fine-tuning.

Requirements

Requires a bachelor's degree in a relevant field or equivalent experience, at least five years of data science experience, and strong hands-on Python, SQL, and PySpark skills. Candidates should have practical experience with machine learning, LLM-based applications, AI agents, RAG, vector databases, embedding models, and conversational AI.

Skills

Python
Machine Learning
Generative AI
Supervised Learning
Unsupervised Learning
SQL
PySpark
Data Transformation
Large Language Model APIs
AI Agents
Retrieval-Augmented Generation
Prompt Engineering
Vector Databases
Embedding Models
Fine-Tuning
Conversational AI

Visa sponsorship

Not detected in the job text

Keywords

Python
Machine Learning
Generative AI
Supervised Learning
Unsupervised Learning
Model Training
Model Evaluation
Model Optimization
SQL
PySpark
Structured Data
Unstructured Data
APIs
Microservices
Cloud-Native Development
Large Language Model APIs
AI Bots
AI Agents
Retrieval-Augmented Generation
Prompt Engineering
Vector Databases
Embedding Models
Fine-Tuning
Conversational AI
Chatbots
AWS
Amazon SageMaker
AWS Lambda
Amazon Bedrock
AWS Glue

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