Machine Learning Engineer
2 weeks ago
Minimum Qualifications
BS/MS/PhD in a quantitative field:
Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields.
2.4+ years of industry experience and a passion for designing, analyzing, and deploying machine learning-based solutions.
- Experience working with relational
SQL and
NoSQL databases. - Experience working with big data platforms (
Hadoop, Spark, Hive). - Fluency with one or more programming languages:
Python, Java, Scala, etc. - Experience with data science toolkits like pandas,
Jupyter, Scikit, TensorFlow, etc. - Familiarity with Machine Learning techniques, e.g., classification, clustering, regularization, optimization, dimension reduction, etc.
- Ability to write high-quality, well-documented, scalable code - Python preferred.
- Strong communication skills with the ability to explain complex/technical work to a non-technical audience and to present data effectively.
- Familiarity with cloud computing (
AWS). - Experience with Large Language Models (
RAG, Generative AI) and
NLP. - Experience with recommender systems.
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