AppZen is the leader in autonomous spendtopay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable expense and card workflows to read understand and make realtime decisions based on your unique spend profile leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises including onethird of the Fortune 500 use AppZens invoice expense and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more visit us at .
About the Role
We are looking for a skilled Python Developer with strong foundations in Data Science to join our team. You will work on designing developing and deploying datadriven solutions while collaborating with crossfunctional teams. This role is perfect for someone who loves coding in Python and has handson experience with data science libraries machine learning models and data pipelines.
Key Responsibilities:
Develop clean efficient and scalable Python code for dataintensive applications.
Work closely with data scientists to productize ML models.
Design and implement robust ETL pipelines and APIs.
Perform data analysis build predictive models and derive actionable insights.
Write unit tests and ensure code quality through best practices.
Collaborate with DevOps/Data Engineers for deployment and monitoring.
Maintain documentation and participate in code reviews.
Required Skills
Strong Python programming skills (3.x)..
Solid understanding of data structures algorithms and OOP.
Handson experience with Pandas NumPy Scikitlearn Matplotlib/Seaborn External & Confidential.
Familiarity with ML workflows model evaluation and hyperparameter tuning.
Experience working with SQL and/or NoSQL databases.
Exposure to REST APIs Flask/FastAPI/Django.
Basic understanding of Git and version control.
Good to Have
Strong Python skills including proficiency in libraries like NumPy and Pandas
A understanding of AI/ML concepts
Good experience with APIs
Knowledge of NLP Deep Learning (TensorFlow PyTorch) is a bonus.
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