Sr MLOps Engineer

Fidelity Canada; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Technical Analyst Sr, where you'll leverage your expertise in Machine Learning and AWS to design and optimize ML pipelines. This role offers a unique opportunity to collaborate with a diverse team, driving impactful solutions that enhance business value. You'll be instrumental in automating workflows, managing ML model lifecycles, and implementing best practices in a supportive and innovative environment. With flexible working arrangements and a commitment to professional development, this position is perfect for those looking to make a meaningful contribution while advancing their careers in a dynamic and inclusive workplace.

Benefits

Flexible working arrangements

Competitive total compensation

Comprehensive health benefits

Parental leave top-up

Home office equipment allowance

Generous time off policy

Diversity and inclusion programs

Professional development opportunities

Qualifications

• 8+ years of experience in software development focused on ML pipelines.
• Strong expertise in AWS services and proficiency in Python.

Responsibilities

• Design and maintain end-to-end Machine Learning pipelines in AWS.
• Develop CI/CD workflows for deploying ML models, including LLMs.

Skills

Machine Learning

AWS Services

Python

MLOps

DevOps

Cloud Engineering

Kubernetes

Docker

GitOps

Problem-Solving

Education

University degree in computer science

Tools

TensorFlow

PyTorch

Hugging Face Transformers

MLflow

Kubeflow

Vertex AI

Terraform

Job description

Job Description

You will be working on a flexible hybrid schedule as part of Fidelity’s dynamic working arrangement.

Current work authorization for Canada is required for all openings.

At Fidelity, we’ve been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and we’re constantly seeking to find new and better ways to help our clients. As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future. Working with us means you’ll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You’ll have a wide range of opportunities to grow and develop your career in an inclusive environment where you’ll feel valued and supported to be your best - both personally and professionally.

How You’ll Make an Impact

The Technical Analyst Sr is responsible for having a strong aptitude for understanding complex business problems and translating their technical knowledge into practical, implementable solutions that will drive high impact business value. The Technical Analyst Sr works closely with other team members to ensure application availability and system maintenance. This individual acts as the technical developer and lead on all assigned projects.

What You Will Do

• Design, build, and maintain end-to-end Machine Learning pipelines in AWS
• Develop CI/CD workflows for deploying ML models, including LLMs
• Manage and optimize ML model training, evaluation, and deployment at scale
• Automate Model monitoring, drift detection, and retraining workflows
• Work with data engineers to build and maintain feature stores and data pipelines
• Optimize model inference for latency and scalability in cloud environments
• Implement MLOps best practices for reproducibility, versioning, and governance
• Collaborate with ML engineers and data scientists to deploy LLM-based applications efficiently
• Secure ML workloads with appropriate access controls and compliance standards

Required Skills & Qualifications

• 8+ years of experience in software development with ML Ops, DevOps, or Cloud Engineering with a focus on ML pipelines
• Strong expertise in AWS services (SageMaker, Lambda, S3, Step Functions, ECS, EKS, etc.)
• Experience with ML model lifecycle management and monitoring frameworks
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers
• Experience deploying LLMs and optimizing them for inference
• Hands-on experience with Kubernetes, Docker, and serverless architectures
• Familiarity with GitOps, Terraform, or other IaC tools
• Experience with feature engineering and real-time inference
• Knowledge of MLOps frameworks like MLflow, Kubeflow, or Vertex AI
• Strong problem-solving skills and ability to work in agile, cross-functional teams

The Expertise You Bring

• Strong organization and planning skills
• Communication skills (verbal and written). Ability to effectively communicate technical jargon to business users
• Analytical skills. Ability to generate options to solve complex and/or multidimensional problems in a timely manner
• Ability to manage multiple priorities
• Ability to work independently as well as part of a team
• Leadership skills. Ability to lead and influence others
• Excellent technical skills

Education

• Completed University degree (preferably in computer science) or equivalent working experience

Some of the ways we’ll help you feel valued and supported as part of our team

• Flexible working arrangements - 100% remote, hybrid, and in office options
• Competitive total compensation, including company contributions to your group RRSP without a matching requirement from you
• Comprehensive health benefits that start on your first day, with 100% employer-paid premiums, that include up to $5000 annually for mental health services and therapy
• Parental leave top-up to 100% of your salary for a period of 25 weeks
• Up to $650 for home office equipment
• Generous time off policy, including 2 paid days annually to volunteer at a charity of your choice
• Diversity and inclusion programs, including an active network of Employee Resource Groups
• Extensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designation
• We care a lot about fostering a compassionate, people-centric culture, and are proud to have been named one of Canada’s Top 100 employers for the last five years

Fidelity Canada is an equal opportunity employer

Fidelity Canada is committed to fostering a diverse and inclusive workplace. We will consider all qualified applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, family status, protected veterans’ status, Aboriginal/Native American status or any other legally-protected ground.

Accommodation during the application process

Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process. If you require an accommodation, please email us at [e-mail] .

No telephone inquiries or agencies please. We thank all applicants for their interest, please be advised that only those selected for an interview will be contacted.