Computer Vision Engineer

Key Responsibilities:

• Research, evaluate, customize, optimize and deploy open source conversational AI models for different use cases.
• Build automations and scripts for process workflows and data (audio, text) processing.
• Understand different public models and should be able to use them.
• Explore and analyze unstructured data like audio and text.
• Deploy developed/trained ML models on cloud platforms like AWS, GCP & Azure.
• Build shell (bash) script for handling the data and various other data and cloud related tasks

Required Skills:

• 3+ years of development experience in Python
• 2+ years of development experience in optimizing / customizing open source ML models in conversational AI space and Audio ML Processing.
• Experience in building automations and scripts for process workflows and data processing.
• Experience in Audio ML Model, and Conversational AI
• Experience in Speech Processing (Voice Activity Detection, Diarization, Speaker Embeddings) and Automated Speech recognition
• Experience in NLP related tasks, such as NER, POS Tagging, Sentimental Analysis, Document Similarity and Ranking.
• Strong understanding of OOPS and Design Patterns.
• Experience with any Python frameworks like Django, Flask
• Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch.
• Experience in building web scraping solutions is good to have.
• Experience in training models through GPU computing using NVIDIA CUDA or on cloud.
• Ability to research and transform into working solutions to solve real-world problems.
• Experience is testing SaaS based cloud applications hosted at Amazon AWS.
• Experience creating test strategies that ensure comprehensive, pragmatic, and scalable testing approaches.
• Experience designing and debugging tests that measure performance and functionality under scale and load.
• Ability to effectively communicate technical concepts to both technical and non technical audiences.