Arivuu AI Labs - Machine Learning Engineer

Description

Key Responsibilities

• Develop, train, evaluate, and deploy machine learning models for real-world use cases.
• Work on NLP-based solutions, including text preprocessing, embeddings, and transformer-based models.
• Design and implement solutions for image processing, image classification, and OCR.
• Perform data preprocessing, feature engineering, and model evaluation for text and image datasets.
• Leverage open-source ML frameworks and pretrained models to accelerate development.
• Optimize models for performance, scalability, and accuracy in production environments.
• Collaborate with cross-functional teams to integrate ML solutions into applications.
• Document model architecture, experiments, and results.
  

Required Skills & Qualifications

• Strong proficiency in Python.
• Hands-on experience with ML libraries and frameworks such as :
• scikit-learn
• TensorFlow
• PyTorch
• OpenCV
• Tesseract
• Proven experience developing and deploying ML models in production.
• Strong understanding of NLP concepts (tokenization, embeddings, transformers, etc.).
• Experience in image processing, image classification, and OCR use cases.
• Familiarity with open-source ML models and frameworks.
• Strong problem-solving and analytical skills.
• Ability to work effectively in a fast-paced, collaborative environment.