Api Development, REST, Computer Vision, Docker, Kubernetes, Python, embeddings, vector databases, time-series forecasting, GRPC, traditional ML boosting algorithms, RAG architectures

Data Security, Data Governance Management System, Artificial Intelligence AI Approaches, Data Science Data visualisation, AI Machine Learning Deep Learning, Applied probabilities Statistics, Practical knowledge of containerization and cloud on-premise deployment, Data Science Advanced Analytics, Data Science Data Wrangling, Software engineering fundamentals, Generative AI Essentials Prompting

Optimization Algorithms, data mining, Machine Learning, Bayesian models, deep neural networks

MLops, Pytorch, Weakly-supervised learning, AI development in regulated environments, Medical image analysis, Deep learning workflows, Experiment reproducibility, Multimodal models

Python, Sql, R, classification and regression, ML algorithm performance, analytics pipelines, machine learning models

Tensorflow, Testing, Opencv, MLops, Pytorch, Python, Version Control, Computer Vision, Azure ML, Hugging Face, Natural Language Understanding, orchestration tools, Semantic Kernel, agentic AI principles, CI CD, Azure OpenAI services, LangChain, deep learning libraries, generative AI, Azure Blob Data Lake

Pyspark, Aws Ec2, Python, experimentation design, TensorFlow Serving, Linear Programming, constraint-based solvers, instrumental variables, combinatorial optimization, Optimization Techniques, causal inference methods, TorchServe, diff-in-diff

Data Science, Machine Learning, Deep Learning, Algorithms, Python, SAS, Data Structures, Nlp, R, Data Analysis, Data Pipelines

Machine Learning, Owasp, Data Security, Ips, Analytics, Llm