Job Title: AI/ML Engineer
Location: Remote/Hybrid (Canada-based candidates only)
Experience Level: 1-4 Years
Job Type: Full-Time / Contract

We are seeking a driven and skilled AI/ML Engineer to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data preprocessing, and model deployment, with a passion for solving real-world problems using AI. You will work closely with data scientists, backend engineers, and product managers to build and scale intelligent systems across our products.

• Design, build, and deploy machine learning models for various applications.

• Collaborate with cross-functional teams to define AI-driven features and deliver end-to-end solutions.

• Preprocess large datasets, perform feature engineering, and apply statistical analysis techniques.

• Train, validate, and optimize ML models using standard libraries and frameworks.

• Monitor and maintain deployed models for accuracy and performance.

• Document model design, performance benchmarks, and technical decisions.

• Stay up-to-date with the latest research and advancements in AI/ML.

• 1-4 years of experience working in AI/ML or data science roles.

• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.

• Strong understanding of machine learning algorithms, model evaluation, and tuning.

• Experience with data manipulation and analysis using Pandas, NumPy, and visualization tools like Matplotlib or Seaborn.

• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and tools for model deployment (e.g., Flask, FastAPI, Docker).

• Experience with version control systems like Git.

• Solid knowledge of SQL and/or NoSQL databases.

• Good communication and documentation skills.

• Knowledge of NLP, Computer Vision, or Deep Learning techniques.

• Hands-on experience with MLOps tools and CI/CD pipelines for ML models.

• Exposure to large language models (LLMs), vector databases, and retrieval-augmented generation (RAG).

• Experience working in Agile or cross-functional product teams.