AI/ML Engineer
Tek Tron ITCanada5 days ago
Full-timeEngineering, Information Technology
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Key Responsibilities
- Design, develop, and deploy machine learning models for classification, prediction, NLP, computer vision, and recommendation systems.
- Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and model evaluation.
- Work with large datasets and implement scalable data processing workflows using frameworks like PySpark, Hadoop, or distributed computing tools.
- Integrate ML models into production using APIs, microservices, and cloud-based ML deployment tools.
- Optimize model performance through hyperparameter tuning and algorithm refinement.
- Implement MLOps best practices, including model monitoring, versioning, and CI/CD for ML workflows.
- Collaborate with data engineers to improve data quality and availability for ML applications.
- Utilize deep learning frameworks (TensorFlow, PyTorch, Keras) to build advanced AI models.
- Conduct research on emerging AI/ML trends, tools, and techniques to enhance solution development.
- Prepare technical documentation, model reports, and deployment guides for stakeholders.
- Ensure model fairness, ethical AI practices, and compliance with data privacy standards.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, or a related field.
- Strong proficiency in Python, including ML libraries such as scikit-learn, pandas, NumPy, SciPy.
- Experience with deep learning frameworks: TensorFlow, Keras, PyTorch.
- Proficiency in building ML pipelines and workflow automation using MLflow, Kubeflow, Airflow, or Azure ML.
- Solid understanding of data structures, algorithms, probability, and statistics.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services (SageMaker, Vertex AI, Azure ML Studio).
- Familiarity with APIs, microservices, and containerization using Docker and Kubernetes.
- Experience with NLP libraries (spaCy, HuggingFace Transformers) or computer vision tools (OpenCV).
- Knowledge of version control (Git) and CI/CD pipelines.
- Strong analytical, problem-solving, and critical thinking skills.
Key Skills
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