AI/ML Engineer

Integriti


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

About the Role

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.

Key Responsibilities

  • 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.

Required Skills & Qualifications

  • 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.

Nice to Have

  • 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.

Apply now
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