Senior Machine Learning Engineer
2 months ago
Unlock Your Potential in Advanced Analytics
This role offers a unique opportunity to join our Advanced Analytics team as a Machine Learning Engineer and contribute to the development of innovative solutions for Financial & Lifestyle Services. Your expertise will be instrumental in setting up data pipelines, monitoring jobs, and maintaining automation systems in production.
Key Responsibilities:
- Collaborate with internal stakeholders to translate prototypes into production-ready code
- Design and implement data pipelines, job monitoring, and alert systems in production
- Maintain automation jobs and ensure data quality
- Develop campaign performance tracking dashboards in production
- Explore and research internal and external data sources to enhance targeting
- Implement DataOps/MLOps pipelines in production
Requirements:
- Good degree in engineering, science, IT, or related field
- Minimum 2 years of experience in relevant field
- Proficient in Python, Java, and SQL
- Well-versed in data engineering and big data frameworks (Hadoop, Spark, Impala, Hive, etc.)
- Familiar with MLOps and DevOps, CI/CD
- Experience in ETL development, data profiling, and data quality management
- Strong team player with excellent organizational skills and a conscientious personality
- Meticulous, proactive, and dynamic with ability to work independently
- Effective communication and people engagement skills
What We Offer:
- Full suite of health and wellness benefits
- Ongoing training and development programs
- Internal mobility opportunities
Your Career Growth Starts Here.
We are committed to a safe and healthy environment for our employees and customers. As a prospective employee, you will be required to be fully vaccinated.
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