Alluvium IoT Solutions Pvt. Ltd.

Skills:
• Strong understanding of computer vision and machine learning techniques
• Experience with programming languages such as Python and C++
• Experience with ML frameworks and libraries such as Pytorch, TensorFlow, Keras, OpenCV and scikit-learn
• Familiarity with web scraping techniques and tools such as BeautifulSoup, Scrapy, and Python Selenium
• Knowledge of software development principles and methodologies such as agile, scrum, and DevOps
• Understanding of system architecture design and development principles
• Experience with NVIDIA GPUs, CUDA, cuDNN, ONNX, Tensor-RT, Deepstream, and Edge AI tools
• Experience with cloud computing platforms such as GCP and AWS
• Knowledge of continuous integration and continuous deployment (CICD) principles and tools
   Proficient in debugging and troubleshooting software issues.
• Excellent communication and teamwork skills

▪︎ Responsibilities:

• Design and develop computer vision and tracking software using various tools and libraries
• Collect, filter and augment data using web scraping and other techniques to create high-quality datasets
• Design system architecture to ensure that the software is scalable, reliable, and efficient
• Train computer vision models using machine learning techniques such as deep learning, optimization and hyperparameter tuning
• Develop custom object detection, segmentation and tracking models based on specific requirements
• Deploy computer vision software and develop an MLOPS system to manage the entire development process
• Debug and enhance computer vision system by identifying and fixing issues, adding new features, and applying necessary technical upgrades
• Develop APIs using FASTAPI for deployment of models on GCP and AWS Lambda
• Implement CICD pipelines to ensure that code changes are automatically tested and deployed to production
• Write workflows to automate data collection, model training, and deployment processes, making the development process more efficient.

Computer Vision Engineer

I am a dedicated information technology professional with nearly 2 years of experience, with a strong focus on Python, Machine Learning, Deep Learning, and Data Analytics.
Targeting a challenging role to leverage expertise and contribute to the success of a dynamic organization across various industries.
Working as an ML Engineer, responsible for developing and implementing cutting-edge solutions using Python, OpenCV, Pytorch, Tensorflow, Keras, and CNN, collaborating with cross-functional teams to analyze and interpret complex data sets.

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