Take ownership of the machine learning project from start to finish, which includes building data pipelines, designing, deploying & maintaining production quality ML models in collaboration with data scientists.
Data Acquisition, Cleaning, and Transformation in order to prepare training datasets.
Build, train, and evaluate image classification and segmentation models using different architectures and tools.
Benchmark, analyze and improve performance of existing algorithms, pre-processing and data augmentation strategies.
Turning prototyped computer vision algorithms into high performance product ready code.
Serve deep learning based computer vision models using the latest serving technologies.
Providing support to the dev team on integrating ML systems with our software stack.
Participate in sprint planning, estimation and reviews and take ownership of deliverables
Document all machine learning processes and findings in an organized manner
Requirements & Skills:
Bachelor or Master in Computer Science, Computer Engineering, Machine Learning, Statistics or Mathematics.
5+ years of experience in software development and data manipulation; Expertise writing code in Python
2+ years of experience in building and implementing production scale Machine Learning models in professional working environment
Extensive experience in PyTorch deep learning framework
Solid understanding of foundational statistics concepts and ML algorithms: linear/logistic regression, Random Forest, boosting, XGBM, k-NN, Naive Bayes, Decision Trees, SVM, etc.
Good theoretical as well as practical knowledge of deep learning architectures such as LSTM, RNN and CNN and Transformer based models
Algorithm and model development experience for large-scale applications.
Experience running accuracy experiments and systematically improving performance.
Familiarity with scientific computing libraries such as numpy, pandas, scikit and image processing libraries such as OpenCV and scikit-image.
Solid understanding and practical experience of containerizing Deep Learning models for deployment purposes in a scalable manner.
Experience with SQL and NoSQL databases and ETL tools.
Familiarity with Git.
Strong cross-team communication and collaboration skills. Comfortable being part of a small team of engineers working in an energetic fast paced start-up environment and effective as part of a distributed team.
Excellent written and verbal communication skills.
Attention to detail, data accuracy and quality of output.
