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BigStep Technologies
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5-8 years
BigStep Technologies - Machine Learning Engineer - NLP/Computer Vision/Image Processing (5-8 yrs)
BigStep Technologies
posted 2mon ago
Flexible timing
Key skills for the job
Responsibilities :
- Collaborate with the R&D team to drive the development of natural language processing, computer vision, and image processing capabilities.
- Develop and implement deep learning models for large-scale image and text data processing.
- Design real-time algorithms for object detection, classification, tracking, and segmentation.
- Fine-tune open-source large language models (LLMs) for natural language and multi-modal use cases.
- Coordinate with cross-functional teams, including software and hardware engineering, to deliver commercial AI solutions.
- Automate workflows between data delivery systems to streamline processes and improve efficiency.
- Optimize models through hyperparameter tuning, data augmentation, and deployment in production environments.
Qualifications and Skills :
- Proven professional experience in computer vision, natural language processing, and machine learning.
- Strong programming skills in Python and proficiency with libraries such as OpenCV, PyTorch, TensorFlow, NumPy, and Pandas.
- Hands-on experience with deep learning frameworks, including Keras and sci-kit-learn.
- In-depth knowledge of transformer architectures and their applications.
- Experience working with convolutional neural network (CNN) architectures like FCN, R-CNN, Fast R-CNN, and YOLO.
- Proficiency in fine-tuning LLMs and prompt engineering for specific applications.
- Strong background in hyperparameter tuning, data wrangling, model optimization, and deployment.
- Familiarity with containerization (i.e., Docker) and cloud platforms (i.e., AWS) for deploying machine learning models.
- A degree in Computer Science, Engineering, or a related field is required.
- Additional knowledge of transformer fundamentals and production-level modeling is a plus.
Preferred Skills :
- Familiarity with advanced deep learning architectures and techniques.
- Knowledge of scalable and distributed AI solutions.
- Experience in integrating AI solutions into commercial products
Functional Areas: Other
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