AI Developer

5 days ago

Eastern Ontario, Canada Manulife Full time

We are seeking an experienced AI Developer to join our team at Manulife. The successful candidate will be responsible for designing and implementing machine learning pipelines to drive business decisions.

About the Role

  • Clean, preprocess, and analyze large datasets to extract relevant insights and patterns
  • Develop and lead machine learning and AI driven projects
  • Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring detailed integration and scalability.
  • Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
  • Working knowledge of visualization tools like PowerBI

Key Responsibilities

  • Design and implement machine learning pipelines to drive business decisions
  • Develop and maintain predictive models to forecast sales performance
  • Work closely with stakeholders to understand business requirements and deliver high-quality solutions
  • Stay up-to-date with industry trends and advancements in machine learning
  • Contribute to the development of new features and functionality in existing systems

Requirements

  • Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • 3+ years of experience in developing probabilistic models, data mining, and machine learning algorithms, including real-world experience of applying analytics models, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
  • Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit-learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos DB/Gremlin).
  • Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
  • Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
  • Excellent communication and collaboration skills, with the ability to work optimally in multi-functional teams.

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