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Machine Learning Engineer
Carnera Technologies
posted 2d ago
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Job Description
Requirements.
Proficiency with machine learning and deep learning frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras, along with collaboration tools like Jupyter Notebook and VS Code.Expertise in Natural Language Processing (NLP) tasks, including part-of-speech tagging, named entity recognition (NER), text parsing, and Optical Character Recognition (OCR).
Experience working with unstructured data, including text, image, and audio data. Large Language Models (LLMs):Understanding of large language models (LLMs) such as GPT, BERT, or T5 including experience with prompt engineering, fine-tuning, and working with transformer-based architectures. Ability to quickly prototype ML solutions to validate use cases and drive innovation. Familiarity with public cloud platforms like Google Cloud Platform (GCP) or Amazon Web Services (AWS) for deploying and scaling ML solutions. Good To Have.
Audio Processing Skills:Hands-on experience in audio signal processing, feature extraction, and analysis using libraries like LibROSA, PyDub, and SpeechRecognition. Familiarity with key NLP and audio processing libraries, such as Hugging Face Transformers, NLTK, SpaCy, and SpeechBrain. Understanding of MLOps principles, including model versioning, monitoring, and automated pipelines for scalable deployment. This job was posted by Sushil Kumar from Carnera Technologies..
Proficiency with machine learning and deep learning frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras, along with collaboration tools like Jupyter Notebook and VS Code.
Experience working with unstructured data, including text, image, and audio data.
Audio Processing Skills:Hands-on experience in audio signal processing, feature extraction, and analysis using libraries like LibROSA, PyDub, and SpeechRecognition.
Employment Type: Full Time, Permanent
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