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Key Responsibilities
- Design, develop, and deploy machine learning, deep learning, and AI models for production.
- Build and maintain scalable data pipelines for feature extraction, model training, and inference.
- Implement and manage end-to-end MLOps workflows for model versioning, monitoring, and CI/CD automation.
- Conduct exploratory data analysis (EDA), feature engineering, and model optimization.
- Work with structured and unstructured datasets, including text, images, and time-series data.
- Collaborate with data scientists, software engineers, and stakeholders to translate business needs into ML solutions.
- Develop model evaluation processes, A/B testing, and continuous monitoring for model performance.
- Deploy models using cloud platforms (AWS, Azure, GCP) or containerized environments (Docker/Kubernetes).
- Create technical documentation, architecture designs, and ML best practice guidelines.
- Stay updated with the latest advancements in AI, ML, NLP, and deep learning technologies.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Statistics, or a related field.
- Strong hands-on experience with Python and ML libraries such as:
- Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM
- Solid understanding of machine learning algorithms, deep learning, NLP, and model lifecycle management.
- Experience working with cloud ML services:
- AWS Sagemaker, Azure ML, Google Vertex AI
- Experience with data processing frameworks (Spark, Databricks, Airflow).
- Strong understanding of Linux environments, Docker, Kubernetes, and CI/CD pipelines.
- Experience with SQL and NoSQL databases.
- Familiarity with software engineering principles, version control (Git), and Agile methodologies.
Key Skills
Ranked by relevance
deep learning
ai
machine learning
cloud
cicd
data analysis
kubernetes
tensorflow
pytorch
python
docker
nosql
linux
spark
mlops
git
sql
aws
gcp
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- Posted
- Nov 26, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Canada
- Company
- Tek Tron IT
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity