Machine Learning Engineer
Bengalurufull-timePosted 11mo ago
About the role
Developing and implementing computer vision and NLP solutions for machine learning applications using deep learning frameworks and large datasets.
Responsibilities
- Develop and implement computer vision and NLP solutions for machine learning applications.
- Design and develop deep learning models using PyTorch, TensorFlow, OpenCV, and Hugging Face.
- Implement algorithms for object detection, segmentation, classification, and tracking.
- Work with large datasets to develop models for image and text processing.
- Collaborate with data scientists and other stakeholders to understand requirements and implement solutions.
- Use NLP techniques for text classification, sentiment analysis, and entity recognition.
- Use computer vision techniques for face recognition, object detection, and scene understanding.
- Implement model evaluation and testing procedures to ensure model accuracy and efficiency.
- Stay up to date with the latest deep learning frameworks, techniques, and best practices.
Qualifications
- Bachelor's degree in computer science, Electrical Engineering, or a related field.
- 1-5 years of experience in computer vision and NLP engineering.
- Experience with deep learning frameworks such as PyTorch and TensorFlow.
- Strong programming skills in Python.
- Experience with computer vision libraries such as OpenCV and object detection libraries such as Hugging Face.
- Familiarity with NLP techniques and libraries such as NLTK and spaCy.
- Experience with image and text processing techniques.
- Familiarity with machine learning algorithms and statistical modeling.
- Experience working with large-scale datasets.
- Excellent communication and collaboration skills.
Skills
Required:Machine LearningDeep Learning Frameworks (PyTorch, TensorFlow)Python ProgrammingComputer Vision Libraries (OpenCV)NLP Techniques (NLTK, spaCy)Large-scale Data HandlingCollaboration and Communication
Last updated Mar 17, 2026. Interested? Apply on the company site.
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