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7 hours ago
We are seeking a skilled Data Engineer/Machine Learning Specialist to join our team. This role requires a strong background in designing data pipelines, developing machine learning models, and collaborating with cross-functional teams.
- Key Responsibilities:
- Create scalable data pipelines using Python, SQL, and ML libraries.
- Develop and train machine learning models using Python.
- Collaborate with backend engineers to integrate model outputs into workflows.
- Evaluate and maintain data quality, reproducibility, and compliance.
- Requirements:
- 3-5+ years of experience in data engineering or applied ML.
- Strong proficiency in Python, SQL, and one or more ML libraries.
- Experience with data pipelines and event-driven systems.
- Understanding of the ML lifecycle and ability to design time-based labels.
- Strong problem-solving skills and eagerness to work in a dynamic environment.
As a successful candidate, you will have a strong passion for machine learning and data engineering, be able to work independently, and have excellent communication skills.
Nice-to-Haves:
- MLOps tools such as MLflow or BentoML.
- Experience with bandit algorithms, A/B testing, or uplift modeling.
- Prior work with customer engagement, CRM, or subscription businesses.
This is an exciting opportunity for someone who wants to bridge the gap between data engineering and applied machine learning. If you have the necessary skills and enthusiasm, we would love to hear from you
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