Data Science Specialist

1 week ago


Old Toronto, Canada Société Financière Manuvie Full time
Overview

Société Financière Manuvie is a leading financial services company that offers a wide range of products and services to its clients. Our team is responsible for developing innovative solutions that drive business value.

Job Summary

We are seeking a highly skilled Senior Machine Learning Developer to join our Group Advanced Analytics team. The ideal candidate will have hands-on experience with large-scale systems, operationalizing code through DevOps pipeline, and building machine learning models as REST-based API.

Responsibilities
  • Data Engineering: Collaborate with Data Scientists to design and implement scalable and efficient machine learning pipelines.
  • Model Deployment: Evaluate and optimize machine learning models for performance and scalability, and deploy them into production.
  • Infrastructure Management: Handle data science infrastructure to streamline model development and deployment.
  • Team Collaboration: Work closely with multi-functional teams to integrate machine learning models into existing systems and processes.
Requirements
  1. Hands-on Experience: Strong programming skills in Python, experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn, and familiarity with big data processing and building data APIs.
  2. DevOps Expertise: Experience in operationalizing code through DevOps pipeline, including git, Jenkins pipeline, and code scan.
  3. Cloud Native Architecture: Experience working with cloud native architecture (PaaS) using Azure stack preferably, and expertise in delivering analytics & machine learning products.
  4. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
What We Offer
  • A competitive salary of $120,000 - $180,000 per year, based on experience.
  • A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
  • A focus on growing your career path with us.
  • Flexible work policies and strong work-life balance.


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