Job description

About Blue. cloud was founded in 2004 within the Data & Analytics space and has constantly evolved. Now, Blue. cloud recognizes the cloud-only nature of our digital transformation company which specializes solely in implementing leading cloud technologies and solutions for our clients. Blue. cloud's innovative approaches and tailored solutions designed to meet our customers unique requirements are the core components of our service offerings. With a balanced view of strategy, people, process, and technology, we work with companies to understand their specific business needs to develop and implement practical business strategies and technology solutions. By leveraging our strategic partnerships with cloud superpowers such as Microsoft Azure, Google Cloud, AWS, Snowflake & ThoughtSpot, and Blue. Cloud continues to highlight the opportunity set at hand for cloud migration, often consulting on cloud strategies and subsequently performing the implementation. With our extensive... experience in digital-focused services, Blue. cloud is well-positioned to help our customers take advantage of the upcoming cloud-centric investment cycle. Job title: Machine Learning Engineer Location: Pune Duration: Full-Time/Hybrid. 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 labeling, training of deep learning models, and deployment. Strong knowledge of Python and packages for data analysis (sci-kit-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 and 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. Qualifications: BE/BTech/MTech in Mathematics or Computer Science (Specialization/courses in ML/DS). Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis. Thanks,

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