Senior Machine Learning Engineer
4 weeks ago
About the Role
We are seeking a highly skilled Senior Machine Learning Engineer to join our Global Advanced Customer Analytics team at Company 1 - The Manufacturers Life Insurance Company. As part of our Customer Experience (CX), Contact Center, Digital & Personalization initiatives, you will be responsible for developing and implementing robust analytical solutions to identify actionable insights using multi-signal datasets.
Key Responsibilities
- Develop feature engineering components to source and acquire structured and unstructured data to support modeling efforts.
- Collaborate with Data Engineers and IT Domain Experts to understand source data and formulate hypotheses and insights prior to model design.
- Develop and deploy machine learning models to solve business problems using a variety of algorithms and techniques.
- 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.
Requirements
- 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.
- 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 and benefits package.
- 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.
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