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Senior AI/ML Developer – Python | DSPy | LLM | Databricks | MLflow
ThoughtStorm
Toronto, ON
- Contract
Added 2 hours ago
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ThoughtStorm
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- Contract
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ThoughtStorm
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- $90 to $100 CAD / hour
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ThoughtStorm
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- Contract
Added 22 hours ago
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ThoughtStorm
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- Contract
Added 1 day ago
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ThoughtStorm
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- Contract
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ThoughtStorm
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ThoughtStorm
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ThoughtStorm
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ThoughtStorm
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ThoughtStorm
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ThoughtStorm
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ThoughtStorm
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Added 7 days ago
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ThoughtStorm
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ThoughtStorm
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Added 7 days ago
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Added 7 days ago
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ThoughtStorm
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Added 7 days ago
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ThoughtStorm
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Added 10 days ago
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ThoughtStorm
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- Contract
Added 10 days ago
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ThoughtStorm

Senior AI/ML Developer – Python | DSPy | LLM | Databricks | MLflow

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Required Skills & Qualifications

Strong hands-on experience with Python programming for AI/ML development, data processing, and automation.
Familiarity with Python libraries such as Pandas, Scikit-learn, and PyTorch.
Practical exposure to LLM frameworks, particularly DSPy, LangChain, Hugging Face, or equivalent.
Experience working with Databricks or other cloud-based Machine Learning environments.
Familiarity with MLflow for experiment tracking, model management, and performance monitoring.
Understanding of LLM inference pipelines, including executing batch inference jobs, troubleshooting, and monitoring model outputs.
Experience supporting model evaluation, benchmarking, performance metrics tracking, and error analysis.
Ability to prepare, clean, annotate, and manage datasets, maintain reproducible Python scripts, and work with Jupyter Notebooks.

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More about this job

Responsibilities

Develop AI/ML solutions using Python and LLM frameworks, and support inference pipelines, including batch execution, troubleshooting, and output monitoring. Prepare and manage datasets, maintain reproducible scripts, and assist with model evaluation, benchmarking, performance tracking, and error analysis.

Requirements

Requires hands-on Python experience for AI/ML development, data processing, and automation, with familiarity in libraries such as Pandas, Scikit-learn, and PyTorch. Candidates should have practical exposure to LLM frameworks and cloud ML environments such as Databricks, plus familiarity with MLflow, inference pipelines, model evaluation, and Jupyter Notebooks.

Skills

Python
Pandas
Scikit-Learn
PyTorch
DSPy
LangChain
Hugging Face
Databricks
MLflow
LLM Inference Pipelines
Batch Inference
Model Evaluation
Benchmarking
Performance Monitoring
Dataset Preparation and Annotation
Jupyter Notebooks

Visa sponsorship

Not detected in the job text

Keywords

Python
Artificial Intelligence
Machine Learning
Pandas
Scikit-Learn
PyTorch
DSPy
LangChain
Hugging Face
Large Language Models
Databricks
Cloud-Based Machine Learning
MLflow
Experiment Tracking
Model Management
Performance Monitoring
LLM Inference Pipelines
Batch Inference
Model Evaluation
Benchmarking
Performance Metrics
Error Analysis
Data Processing
Dataset Preparation
Data Cleaning
Data Annotation
Reproducible Scripts
Jupyter Notebooks
Business Consulting and Services

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