Who are we? Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:   

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you! 

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.   

As you know, every person is different and so is every role in a company.  That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. 
We look forward to meeting you!

Job description

We are looking for a motivated MLOps Engineer to join our team, working remotely from Canada. As an MLOps Engineer, you will bridge the gap between data science and operations, ensuring seamless integration, deployment, and management of machine learning models in production environments. Your mission will be to automate, scale, and monitor the entire ML lifecycle, leveraging your expertise in cloud infrastructure, DevOps practices, and scripting, to deliver efficient, reliable, and secure data-driven solutions that support business innovation and operational excellence.

Key Responsibilities Collaborate with data scientists, ML engineers, and software developers to design, build, and maintain robust ML pipelines. Automate the deployment, monitoring, and management of ML models in production using CI/CD tools and cloud platforms (AWS, Azure). Implement and manage Infrastructure as Code (IaC) for scalable and reproducible ML environments (Terraform, CloudFormation, ARM templates). Containerize ML applications with Docker and orchestrate them using Kubernetes for scalable and resilient deployments. Set up and maintain monitoring and logging for ML models and data pipelines (CloudWatch, Splunk, ELK, etc.). Ensure version control and reproducibility of code, data, and models (Git, DVC, or similar tools). Develop automation scripts (Python, Bash, YAML) for data preprocessing, training, validation, and deployment. Manage cloud resources and security (IAM roles, VPCs, networking for ML workloads). Troubleshoot and resolve issues in ML pipelines, deployments, and infrastructure. Drive continuous improvement by integrating best practices in DevOps and MLOps.

 

Main Requirements 4 to 6 years of experience in MLOps, DevOps, or related engineering roles. Strong experience with cloud platforms (AWS, Azure). Proven skills in CI/CD, Docker, Kubernetes, and IaC (Terraform, CloudFormation, ARM). Hands-on experience with Python, Bash, YAML scripting. Knowledge of monitoring and logging tools (CloudWatch, Splunk, ELK, etc.). Experience with Git and version control practices. Understanding of ML lifecycle management and collaboration with data science teams. Fluent level of English (spoken and written) to collaborate with international stakeholders.

 

Why choose us

An international community bringing together more than 110 different nationalities An environment where trust is central: 70% of our leaders started their careers at the entry level A strong training system with our internal Academy and more than 250 modules available A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)

 

Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.