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Machine Learning Engineer
3 months ago
- Collaborate with the Engineering team to identify opportunities for machine learning automation and predictive modeling.
- Conduct data mining, develop, train, and deploy models, and define metrics aligned with business objectives.
- Perform data cleaning and ETL processes to extract relevant features for modeling.
- Assist team members in data analysis and interpretation.
- Conduct A/B testing of solutions or models.
- Build a production-ready pipeline supporting multiple machine learning models.
- Develop monitoring tools for data quality and system performance.
- Provide guidance to team members and actively participate in the interview process.
- MS/Ph.D. in Data Science, Computer Science, Machine Learning, Statistics, or related fields, or equivalent professional experience.
- 2+ years of experience in machine learning systems, algorithms, and applications (e.g., deep learning, time series analysis).
- Startup/early product development experience.
- Strong understanding of fundamental CS algorithms and scaling behaviors.
- Extensive Python programming experience.
- Proficient in build/release systems and processes.
- Experience with data warehouses, data lakes, and ETL.
- Familiarity with big data platforms (Hadoop, Spark, Hive), orchestration frameworks (Airflow), and analytic environments (Databricks, Sagemaker, Jupyter).
- Quick learner of new technologies.
- Experience in fast-paced iterative design and manufacturing environments.
- Strong communicator with the ability to explain complex topics to technical and non-technical audiences.
- Proven ability to solve complex problems independently or as part of an integrated team.
