What are the responsibilities and job description for the NLP / Machine Learning Engineer position at Syren Cloud Inc?
Qualifications
Required Qualifications:
Required Qualifications:
- Ph.D. in a quantitative discipline such as software engineering, computer science, statistics, biostatistics, or supply chain. Or an equivalent educational background of M.S. with 3 years or B.S. with 5 years of experience of building AI/ML solutions.
- Experience in building end-to-end data products, taking products from POC stage through the full product life cycle including operationalization and scaling.
- Proficiency in one or more programming languages such as Python or R along with associated machine learning packages such as TensorFlow, PyTorch, and Keras.
- Experience in setting up, configuring, and managing CI/CD pipelines to ensure smooth and efficient software development workflows. Specifically working with frameworks such as Docker, Kubernetes, Helm, Jenkins, and Gitlab.
- Experience working in multiple software development frameworks such as Agile.
- Strong expertise in building and deploying machine learning models such as generalized linear regression, logistic regression, XGBoost, random forest, neural networks, NLP, GenAI or large language model (LLM).
- Proven experience shaping AI and ML solutions in close partnership with business stakeholders based on business needs.
- Proven success in applying Data Science and ML Engineering methods to solve Commercial problems in the Pharma Industry.
- Experience working in a fast-paced environment with competing priorities, multiple stakeholders, matrixed teams, and evolving needs.
- Experience working in cross-functional teams to deliver outstanding results.
