AI/ML Engineer — Remote (Canada)

Veracity Ventures Inc.; United States; Remote; USD 64,000 - 93,000; Full time

Benefits offered by this job

Fully remote

Job summary

Veracity Ventures Inc. is seeking an experienced AI/ML Engineer to join our remote Canada team. The role is full-time and requires 4+ years of hands-on experience, with strong Python skills and practical ML knowledge across frameworks.

You will design, train, and deploy models, perform data preprocessing and feature engineering, and collaborate with cross-functional teams to build scalable AI solutions, including NLP/LLMs explorations.

Qualifications

• 4+ years of experience in AI/ML or a related field.
• Strong Python programming skills.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Understanding of SQL, data processing, and feature engineering.
• Familiarity with cloud platforms AWS/Azure/GCP.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop, train, and deploy machine learning models.
• Build AI-driven solutions using Python and machine learning frameworks.
• Perform data preprocessing, feature engineering, and model evaluation.
• Work with TensorFlow, PyTorch, and Scikit-learn.
• Develop AI/ML pipelines and deploy models into production.
• Collaborate with cross-functional teams to deliver scalable solutions.
• Explore Generative AI, NLP, and Large Language Models (LLMs).
• Monitor model performance and optimize existing solutions.

Skills

Python programming

ML algorithms

Statistics

SQL

Analytical skills

Education

Bachelor's degree in a related field

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Job description

Veracity Ventures Inc. is seeking an experienced AI/ML Engineer to join our remote Canada team. The role is full-time and requires 4+ years of hands-on experience, with strong Python skills and practical ML knowledge across frameworks.

You will design, train, and deploy models, perform data preprocessing and feature engineering, and collaborate with cross-functional teams to build scalable AI solutions, including NLP/LLMs explorations.