AI/ML Engineer

• Develop, test, deploy, maintain, and improve Machine Learning models and software.
• Experience in working with cloud technologies like Azure, AWS
• Development of end-to-end machine learning pipeline including data extraction, automated labelling, training of deep learning models and deployment.
• Strong knowledge in python and packages for data analysis (scikit-learn, SciPy, numpy, pandas, matplotlib etc.).
• Expertise in machine learning frameworks like TensorFlow, PyTorch, etc. and ability to work with frameworks like Tesseract, OpenCV, NLTK, Spacy, Scikit-Learn, Numpy, Pandas etc.
• Experience in working with PyTorch libraries and transformers.
• Experience in supervised machine techniques and algorithms, such as GLM, k-NN, Naive Bayes, SVM, Random Forests, Neural Networks etc.
• Experience in unsupervised machine learning techniques and algorithms, such as clustering algorithms, dimensionality reduction techniques etc.
• Strong mathematical and statistical understanding.
• Experience in using hyperparameter optimization techniques, modifying loss functions
• Experience in detecting and fixing data leakage/drift in data/model and evaluating model performance over time
• Hands on experience with Azure DevOps and Snowflake
• Proficiency in managing Docker orchestration and Docker containerization using Kubernetes
• Hands on experience with version control systems like Git and automation tools like Jenkins

• BE/BTech/MTech in Mathematics or Computer Science (Specialization/courses in Client/DS).
• Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.

Last updated on Sep 5, 2023