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Machine Learning Engineer
1 month ago
About the Role:
Parexel is seeking a highly skilled Machine Learning Engineer to join our innovative team. As a key member of our AI Labs, you will be responsible for developing and deploying leading AI-driven solutions to improve workflows across both Parexel and the life sciences industry.
Key Responsibilities:
- Leverage our proprietary technology stack to build custom machine learning models.
- Design, implement, and document new ML/NLP modeling techniques and strategies.
- Develop Back-end / server-side software to support AI solution development and serving.
- Build internal frameworks, libraries, and infrastructure to improve machine learning and NLP capabilities.
- Review and adapt recent research in ML and NLP into prototypes and production solutions.
Requirements:
- Master's or PhD level in engineering or computer science with a focus on Machine Learning and NLP.
- Strong CS fundamentals including data structures, algorithms, and distributed systems.
- Theoretical and practical proficiency in probability, statistical NLP algorithms, and modern ML technologies.
- Strong software engineering fundamentals, including the ability to write production-ready code.
- Python and scientific computing packages (pytorch, numpy, scikit-learn, tensorflow).
- Database technologies such as ElasticSearch, Neo4j, and SQL.
About Us:
Parexel is a leading biopharmaceutical services company that helps clients transform scientific discoveries into new treatments. We believe in our values and are committed to improving the world's health.
