3+ years of experience working with Natural Language processing
3+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP)
3+ years of experience leveraging cloud-native tools like Azure Machine Learning, AWS SageMaker, GCP AI Platform for model training, deployment, and monitoring
2+ years of experience working with Retrieval-Augmented Generation
Preferred Qualifications:
8+ years of AI/ML Engineering experience
Experience with Optical Character Recognition (OCR) for document digitization and data extraction
Experience with Intelligent document processing
Experience working in accordance with Dev/Sec/Ops principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, Git etc.)
Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask, Django etc.
Expert knowledge of Python/SQL and AI/ML libraries (tensorflow/PyTorch/SciKit/Seaborn etc.) Familiarity with telephony systems, including voice processing, speech recognition, and platform integration
Proven track record of shipping and maintaining production, enterprise scale AI applications and data science products
Proven solid computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full time