Develop and deploy data-driven solutions using Python, collaborate with data scientists, design ETL pipelines, and maintain code quality.
AppZen is the leader in autonomous spend-to-pay 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 real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s 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 www.appzen.com.
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 data-driven solutions while collaborating with cross-functional teams. This role is perfect for someone who loves coding in Python and has hands-on experience with data science libraries, machine learning models, and data pipelines.
Key Responsibilities:
- Develop clean, efficient, and scalable Python code for data-intensive 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.
- Hands-on experience with Pandas, NumPy, Scikit-learn, 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.
Top Skills
Django
Fastapi
Flask
Matplotlib
NoSQL
Numpy
Pandas
Python
PyTorch
Rest Apis
Scikit-Learn
SQL
TensorFlow
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