Machine Learning Technician

3 days ago

Leamington, Canada Uni-Fab Full time

**Job Summary**

**Duties**

**Data Analysis & Preprocessing**:

- Work with large datasets, perform feature engineering, and preprocess raw data to make it usable for model training.
- Research, evaluate, and implement appropriate algorithms and tools based on the problem at hand, considering performance, efficiency, and scalability.

**Model Development & Deployment**:

- Train machine learning models, tune hyperparameters, and optimize models to achieve the best performance.
- Deploy machine learning models in production environments and integrate them into existing systems, ensuring they are robust and scalable.

**Maintenance & Research**:

- Continuously monitor the performance of deployed models, retrain them as needed, and address issues such as data drift.
- Stay updated on the latest advancements in the field of machine learning and AI, and experiment with new techniques and tools to improve existing processes and models.

**Collaboration & Documentation**:

- Work closely with IT Manager, and other stakeholders to understand business needs and ensure successful implementation of ML solutions.
- Collaborate with team members to maintain clear and thorough documentation of the machine learning pipelines, processes, and models to ensure reproducibility and scalability.

**Qualifications**
- Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or a related field is preferred but not required.
- Experience working with common machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience in deploying ML models in production environments (e.g., AWS SageMaker, Heroku, Azure Machine Learning).
- Experience with LLMs development using open-source models and tools such as Hugging Face.
- Experience in model explainability and ethical AI practices.
- Strong proficiency in programming languages such as Python, R, or Java.
- Solid understanding of data structures, algorithms, and complexity analysis.
- Hands-on experience with deep learning, reinforcement learning, NLP techniques, and/ or MLOps pipeline maintenance.
- Knowledge of Data Visualization tools such as Tableau and Power BI.
- Strong problem-solving skills and ability to work with complex datasets.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team environment.
- Strong attention to detail and a passion for continuous learning.

**Job Type**: Fixed term contract
Contract length: 12 months

Expected hours: 40 per week

**Benefits**:

- Company events
- Dental care
- Disability insurance
- Employee assistance program
- Extended health care
- Life insurance
- On-site parking
- Paid time off
- Vision care

Schedule:

- 8 hour shift
- Monday to Friday

Ability to commute/relocate:

- Leamington, ON: reliably commute or plan to relocate before starting work (preferred)

**Experience**:

- Machine learning: 1 year (preferred)

Work Location: In person

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