Senior ML Engineer at BMT designing and deploying machine - learning systems, collaborating across diverse client projects in defence and security sectors.
About the role
- Intermediate Machine Learning Engineer at Aviva Canada implementing ML pipelines with required collaboration in AI/ML Operations. Join a team dedicated to operationalizing ML models for optimizing solutions.
Responsibilities
- Assist in designing and implementing ML pipelines and services in cloud and on-premise environments.
- Collaborate with cross-functional teams to gather requirements and contribute to scalable ML solutions.
- Support model deployment, monitoring, and performance optimization.
- Apply MLOps practices such as CI/CD, model versioning, and retraining workflows.
- Work with Snowflake and AWS services to support ML model deployment.
- Contribute to the development and maintenance of on-premise ML workflows.
- Ensure adherence to data privacy, security, and compliance standards.
- Participate in code reviews and knowledge sharing within the team.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- 2–4 years of experience in machine learning engineering or related roles.
- Proficiency in Python, along with data processing and ML libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost).
- Familiarity with AWS and/or Snowflake cloud services, as well as Linux-based systems.
- Basic experience with Jenkins and containerization tools such as Docker.
- Strong SQL skills, including an understanding of query optimization techniques.
- Exposure to ML workflow tools (e.g., MLflow, Airflow) and monitoring frameworks is a plus.
- Strong analytical and problem-solving abilities.
Benefits
- Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
- Hybrid flexible work model.
- Outstanding career development opportunities.
- We’ll support your professional development education.
- Competitive vacation package with the option to purchase 5 extra days off per year.
- Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
- Corporate wellness programs to support our employees’ physical and mental health.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer responsible for improving MIRA and developing generative AI features at Meltwater. Collaborating with a team to drive innovation and scalability in AI solutions.
AI & ML Engineer enhancing energy management software solutions at GreenPocket GmbH. Focusing on modern LLM architectures and AI integration for innovative user experience.
Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
Machine Learning Engineer at DentalMonitoring developing AI solutions for orthodontics. Responsibilities include model development, evaluation, deployment, and performance monitoring.
Machine Learning Engineer at Hiscox working on fraud detection and generative AI projects. Collaborating closely with data scientists and engineers to solve complex business challenges.
Internship focusing on programming robotic arms and using machine learning in simulations at Fraunhofer IIS. Opportunity to gain practical experience and contribute to innovative research.
Senior Machine Learning Engineer at Itaú, driving innovation with data and AI solutions. Collaborating across teams to implement robust machine learning architectures and ensure scalable deployments.
Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
Lead advanced machine learning model development and optimization at PayPal. Collaborate with teams to deploy scalable ML solutions in production environments.