Data Scientist
Data Scientist
Posted on :
19-07-2025
Employer Active
1 Vacancy
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Job Description
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 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 experienced Data Scientists with strong Python expertise to join our growing AI/ML team. Youll collaborate with a world-class group of machine learning engineers and scientists working on cutting-edge NLP document understanding and enterprise automation use cases.
Key Responsibilities:
- Design build and evaluate models for NLP document extraction classification and generative tasks.
- Develop end-to-end ML pipelines from data pre-processing to model inference and monitoring.
- Work on productionizing models including model packaging API integration and deployment using Docker/Kubernetes.
- Analyse model behaviour debug Python code and optimize performance in large-scale environments.
- Translate prototypes into scalable production-grade ML services with a focus on reliability and performance.
- Contribute to model and system monitoring logging and performance optimization.
- Collaborate with product managers and engineering teams to turn business requirements into ML-driven product features.
- Stay current with research and advancements in transformer-based architectures LLMs (e.g. GPT BERT) and generative AI techniques.
Must-Have Qualifications:
- 25 years of professional experience in Python with strong debugging profiling and performance optimization skills.
- Solid understanding of python data structures algorithms and software engineering best practices in ML development.
- Hands-on experience with NLP and modern ML frameworks like PyTorch TensorFlow or Hugging Face Transformers.
- Applied experience with transformer models LLMs or generative AI in real-world scenarios.
- Experience with model evaluation including designing meaningful metrics tracking model drift and optimizing performance in production.
- Ability to manage multiple priorities in a fast-paced and collaborative environment.
- B.E./ or higher in Computer Science Engineering or a related technical field.
Nice-to-Haves:
- Experience building and deploying containerized ML services with Docker and CI/CD pipelines.
- Skilled in designing and consuming RESTful Python APIs (e.g. FastAPI Flask).
- Experience with cloud services particularly AWS (S3 SQS etc.).
- Familiarity with databases such as PostgreSQL and Redis.
- Strong grasp of classical ML algorithms such as Logistic Regression Random Forests and XGBoost.
- Ability to choose between heuristic rule-based and model-driven solutions pragmatically (e.g. regex vs ML).
Employment Type
Full-Time
Key Skills
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