4 - 8 years
20 - 22 Lacs
Posted:-1 days ago|
Platform:
Work from Office
Full Time
Key Responsibilities
Design and implement AI models for document processing, OCR, and data extraction from financial documentsDevelop machine learning pipelines for invoice classification, vendor matching, and paymentpredictionBuild AI-powered reconciliation algorithms that can identify discrepancies and suggest correctionsPrototype and iterate on natural language processing solutions for financial workflow automationCollaborate on end-to-end AI system architecture from data ingestion to model deploymentExperiment with large language models and fine-tuning for financial domain applicationsImplement MLOps practices for model versioning, monitoring, and continuous improvement
Required Qualifications
4+ years of experience in machine learning and AI developmentStrong proficiency in Python, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn)Experience with computer vision and OCR technologies (OpenCV, Tesseract, cloud OCR APIs)Knowledge of NLP and experience with transformers, BERT, or similar architecturesFamiliarity with cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML)Experience with data processing frameworks (Pandas, NumPy, Apache Spark)Understanding of financial processes (invoicing, payments, reconciliation) preferredComfortable with rapid prototyping and iterative development approachesPreferred QualificationsExperience with document AI and intelligent document processing Knowledge of financial regulations and compliance requirementsExperience with vector databases and retrieval-augmented generation (RAG)Familiarity with API development and microservices architectureExperience with containerization (Docker, Kubernetes)
AVE-Promagne Business Solutions
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