machine learning engineer
Title posted on indeed.com -
DevOps Machine Learning Engineer
Posted on
March 19, 2025
by
Employer details
Thrive Career Wellness Inc
Job details
*Dev / ML Ops*
Base Salary: $120k-$150k
Remote within Canada
*Job Overview:*
We are seeking a highly skilled *DevOps Engineer* to manage and optimize our *AWS cloud infrastructure* while supporting *ML Ops* initiatives. This role will focus on ensuring our cloud systems are secure, scalable, and efficient, while also enabling seamless deployment and operation of machine learning workflows.
*Key Responsibilities:*
- *Cloud Infrastructure Management:* Design, implement, and maintain robust, scalable, and cost-efficient cloud solutions on *AWS*.
- *Automation & CI/CD:* Build and maintain *CI/CD pipelines* to automate infrastructure provisioning, application deployments, and system monitoring.
- *Monitoring & Optimization:* Develop monitoring solutions to ensure performance, reliability, and cost-effectiveness of cloud infrastructure.
- *Security:* Implement *cloud security best practices*, including IAM, network configurations, and encryption strategies.
- *ML Ops Support:* Collaborate with AI team and engineers to operationalize machine learning models, ensuring smooth integration into production systems.
- *Containerization & Orchestration:* Use tools like *Docker* to containerize applications and manage clusters effectively.
- *Collaboration:* Partner with software developers, data engineers, and other stakeholders to streamline workflows and ensure infrastructure aligns with business needs.
- *Documentation:* Maintain comprehensive documentation of infrastructure, processes, and best practices for internal use and onboarding.
*Qualifications:*
- *Experience:* 3+ years of experience in *DevOps* or a related role, with exposure to *ML Ops* workflows.
- *Technical Skills:*
- Expertise in *AWS services* (e.g., EC2, S3, Lambda, EKS, SageMaker).
- Proficiency in *Infrastructure as Code (IaC)* tools such as *Terraform* or *CloudFormation*.
- Hands-on experience with *CI/CD tools* like GitHub Actions, or GitLab CI/CD.
- Strong skills in containerization (*Docker*) and orchestration (*Kubernetes*).
- Proficiency in scripting languages such as *Python*, *Bash*, or *PowerShell*.
- *ML Ops Knowledge:* Familiarity with *SageMaker*, *Kubeflow*, *MLflow*, or equivalent tools for machine learning operations.
- *Monitoring Tools:* Experience with observability tools like *CloudWatch*, *Prometheus*, *Grafana*, or similar.
- *Problem-Solving:* Strong troubleshooting skills for cloud and system-related issues.
- *Communication:* Clear and effective communication skills to collaborate across technical and non-technical teams.
*Nice-to-Have:*
- Experience managing *data engineering workflows* or working with platforms like *Databricks*.
- Knowledge of *serverless architecture* and event-driven systems.
- Familiarity with *cloud cost management tools* and strategies.
- Exposure to advanced *security compliance* frameworks and practices.
- Familiarity with *Ruby on Rails*
Apply Now:
Join a team that values diversity and inclusivity. Thrive Career Wellness is proud to be an Equal Opportunity Employer. Should you require accommodation during the hiring process, please let us know. Applicants must be legally entitled to work in Canada.
Step into a role that empowers you to be at the forefront of career wellness innovation. Apply today and join us in making careers thrive!
Job Type: Full-time
Pay: $120,000.00-$149,969.00 per year
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LocationToronto, ON
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Workplace information
On site
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Salary$120,000 to $149,969YEAR annually
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Terms of employment
Full time
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Starts as soon as possible
- vacancies
1 vacancy
- Source
indeed.com
#9678975330
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