- Professional
- Optionales Büro in Vancouver
About the Role:
Responsibilities:
- Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks.
- Conduct and validate model performance through comprehensive evaluation metrics.
- Analyze large datasets to extract actionable insights and trends.
- Implement machine learning models into production environments, ensuring scalability and reliability.
- Monitor and maintain the performance of deployed models, making updates and improvements as necessary.
- Work closely with the data engineer and Principal ML engineer.
- Stay updated with the latest advancements in machine learning, AI, and data science
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
- 3+ years' experience in implementing scalable ML systems into the production environment.
- Experience in all parts of the lifecycle of ML projects, including initial conceptualization, data handling, model development, and deployment.
- Proficiency in programming languages, including Python.
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
- Experience developing Python APIs using tools such as FastAPI.
- Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools.
- Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation.
- Familiar with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Experience building an enterprise-class business automation solution is a plus.
- Experience working in a SaaS environment a plus.
- Stay updated with the latest advancements in machine learning, AI, and data science.
About Conexiom:
Conexiom embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are working to ensure that the profile of our staff reflects the profile of the communities we work in and serve. For that reason, we seek resumes and expressions of interest from a broad and diverse talent pool. Strength comes from the inclusion of diverse perspectives and experiences.
Reasons to work for Conexiom:
- Training and development opportunities
- Competitive compensation
- Work/Life balance – Open PTO Policy in North America & Flex days in the UK
- Comprehensive health, dental, & vision insurance
- We care for each other
- We hold ourselves accountable
- We make our customers heroes
- We over-communicate
- We are inclusive & want to make change for the better