Advanced Analytics Solutions Developer
4 weeks ago
Description
We are seeking an accomplished Senior Machine Learning Engineer to join our Global Advanced Customer Analytics team at Company 1 - The Manufacturers Life Insurance Company.
This role plays a pivotal part in our Customer Experience (CX), Contact Center, Digital & Personalization initiatives. As a key member of the team, you will be responsible for developing and implementing robust analytical solutions to identify actionable insights using multi-signal datasets. This enables us to enhance our products and services to meet business needs effectively as per roadmap.
Key Responsibilities:
- Develop feature engineering components to source and acquire structured and unstructured data to support modeling efforts. Strong emphasis on data modeling techniques during feature engineering and system design.
- Collaborate with Data Engineers and IT Domain Experts to understand source data and formulate hypotheses and insights prior to model design, using multi-signal data sources.
- Develop and deploy machine learning models to solve business problems using various algorithms and techniques like LLM, Generative AI & RAG; utilizing Azure and Databricks platforms.
- Work closely with partners to gather requirements and implement solutions that meet their needs.
- Embrace best practices, processes related to MLOps, Coding standard methodologies for the broader data science and engineering teams.
- Experience in optimizing model accuracy and runtime performance using techniques such as model compression and parallelization.
- Mentor and provide guidance to junior team members, fostering a culture of continuous learning and improvement.
- Stay up-to-date with industry trends and advancements in Machine Learning, Generative AI, Prompt engineering, Cloud, and related technologies.
What motivates you?
- You obsess about customers, listen, engage, and act for their benefit.
- You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
- You thrive in teams and enjoy getting things done together.
- You take ownership and build solutions, focusing on what matters.
- You do what is right, work with integrity, and speak up.
- You share your humanity, helping us build a diverse and inclusive work environment for everyone.
Requirements and Qualifications:
- An advanced degree in Machine Learning, Data Science, Computer Science, Engineering, or Statistics.
- Minimum of 5 years of experience solving high-impact business problems using Machine Learning & Data Science.
- Proven experience as a Data/ML Engineer, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
- Hands-on experience with Azure tech stack, including Azure Cognitive Search, Langchain, Vector stores. Experience in Azure OpenAI and open-source models like Llama is a bonus.
- Strong partner management, ability to translate sophisticated technical topics into business language, presentation skills, and an ability to balance a sense of urgency with shipping high-quality and pragmatic solutions.
- Strong software development skills with proficiency in Python and advanced working SQL knowledge, preferably using the Azure stack and experience with Azure ML, Databricks, Azure Data Factory.
- Experience in productionizing code through the DevOps pipeline (git, Jenkins pipeline, code scan).
- Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
What we offer:
- A competitive salary between $92,190.00 CAD and $171,210.00 CAD, depending on location.
- 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.
Company Overview:
At Company 1 - The Manufacturers Life Insurance Company, we lead with our values every day and bring them to life together. We create opportunities to learn and grow at every stage of your career. We invite you to help redefine the future of financial services. We foster an inclusive workplace where everyone thrives. We build a business that benefits all partners and has a positive social and environmental impact.
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