AI/ML Engineer
Tek Tron ITCanada7 days ago
Full-timeRemote FriendlyEngineering, Information Technology
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Job Title: AI/ML Engineer
Location: Canada (Hybrid/On-site/Remote options available)
Experience Required: 2 – 10 years
Employment Type: Full-time
About The Role
We are seeking a skilled AI/ML Engineer to design, develop, and deploy advanced machine learning and artificial intelligence models that power next-generation data-driven solutions. The ideal candidate will have strong
analytical skills, hands-on experience in model development, and the ability to work collaboratively with cross-functional teams to integrate intelligent systems into business applications.
Key Responsibilities
Location: Canada (Hybrid/On-site/Remote options available)
Experience Required: 2 – 10 years
Employment Type: Full-time
About The Role
We are seeking a skilled AI/ML Engineer to design, develop, and deploy advanced machine learning and artificial intelligence models that power next-generation data-driven solutions. The ideal candidate will have strong
analytical skills, hands-on experience in model development, and the ability to work collaboratively with cross-functional teams to integrate intelligent systems into business applications.
Key Responsibilities
- Design and implement machine learning, deep learning, and AI-based models to solve complex business problems.
- Preprocess, clean, and analyze large datasets using Python, R, or Spark.
- Develop and optimize end-to-end ML pipelines for training, validation, and deployment.
- Work with cloud platforms such as AWS, Azure, or GCP for scalable model deployment.
- Apply NLP, computer vision, or predictive analytics depending on project needs.
- Collaborate with data engineers, software developers, and product teams to integrate models into production environments.
- Continuously evaluate model performance and fine-tune algorithms for accuracy and efficiency.
- Stay current with the latest trends and research in AI, ML, and data science.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related field.
- 2–10 years of professional experience in machine learning, data science, or AI model development.
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Strong understanding of statistical modeling, feature engineering, and model evaluation.
- Experience with SQL/NoSQL databases and data pipeline tools (Airflow, Kafka, Spark).
- Familiarity with MLOps tools like MLflow, Kubeflow, or SageMaker is a plus.
- Excellent problem-solving, analytical, and communication skills.
- Experience with LLMs (Large Language Models), transformer architectures, or GenAI applications.
- Exposure to Docker/Kubernetes for model containerization and deployment.
- Contributions to open-source AI/ML projects or published research papers.
- Certification in AI/ML or Cloud Computing (e.g., AWS ML Specialty, Google Professional ML Engineer).
Key Skills
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