Machine Learning Engineer

4 weeks ago

Old Toronto, Ontario, Canada Société Financière Manuvie Full time
The Opportunity

We are seeking a highly skilled Machine Learning Engineer to join our Group Advanced Analytics team. As a key member of our team, you will be responsible for packaging models, automating workflow, and operationalizing analytics solutions to generate business value to various parts of the JH/Manulife.

Responsibilities

  • Collaborate with Data Scientists and Data Engineers to design and implement scalable and efficient machine learning pipelines.
  • Evaluate and optimize machine learning models for performance and scalability.
  • Deploy machine learning models into production and monitor their performance.
  • Handle data science infrastructure to streamline model development and deployment.
  • Propose appropriate tools (languages/libraries/frameworks) for implementing projects.
  • Work closely with infrastructure architects to craft scalable and efficient solutions.
  • Integrate machine learning models into existing systems and processes.
  • Stay up-to-date with the latest advancements in ML & AI.
  • Mentor associates and peers on MLOps standard practices.

What motivates you?

We are looking for individuals who are passionate about delivering high-quality solutions, working collaboratively with cross-functional teams, and driving business outcomes. If you are a motivated and detail-oriented professional with a strong background in machine learning and data science, we encourage you to apply.

What we are looking for

  • Hands-on experience with large-scale systems in software engineering.
  • Experience in operationalizing code through DevOps pipeline (git, Jenkins pipeline, code scan).
  • Familiarity with big data processing and building data APIs.
  • Experience with automated data quality frameworks.
  • Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Advanced working SQL knowledge and experience working with relational databases and SQL.
  • Experience in infrastructure, including Cloud Computing, Linux OS, Networks, Docker, Kubernetes, RDBMS and NoSQL Databases.
  • Experience working with cloud native architecture (PaaS) using Azure stack preferably and experience with Azure ML, DataBricks (Spark), Azure Data Factory.
  • Experience in building ETL pipelines to perform feature engineering on large-scale dataset using Spark.
  • Experience with Large Language Models (LLMs) such as GPT-3 or BERT.
  • An ability to balance a sense of urgency with shipping high-quality and pragmatic solutions.
  • Expertise in delivering analytics & machine learning products, with a deep understanding of agile product delivery in an enterprise environment.

What can we offer you?

  • A competitive salary and benefits packages.
  • 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.
  • Professional development and leadership opportunities.

Our commitment to you

  • Values-first culture: We lead with our Values every day and bring them to life together.
  • Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
  • Continuous innovation: We invite you to help redefine the future of financial services.
  • Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
  • Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

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