Machine Learning, Sql, MLops, Python, AWS, GenAI, automated retraining pipelines, Simulation, Monitoring, R, Optimization, Statistical Modeling, model registries, synthetic data generation, offline experimentation

causal inference , Advanced Analytics, Machine Learning, Pyspark, Sql, Pytorch, Databricks, Python, decision science, uncertainty quantification, risk benchmarking, Forecasting, MLflow, personalisation, responsible AI, Optimisation, Statistics, survival methods, Fraud Detection, cloud-based ML platforms, Bayesian modelling

Ml, Deep Learning, MLops, Python, Generative AI, DL, Ai, Transformer-based networks, reinforcement learning, Agentic AI, RL, AI frameworks

Sql, Computer Vision, Pyspark, Machine Learning, MLops, Python, Docker, Scala, Flask, Spark, PEFT, Personalization Algorithms, RAG, User Behavior Modeling, Recommendation Systems

Ml, Deep Learning, MLops, Python, Algorithms, data structures, generative AI architectures, LLMs, GANs, Transformer-based networks, Ai, DL, SLMs, autoregressive models, Variational Autoencoders, reinforcement learning, RAG, Agentic AI, RL, modern AI frameworks, Generative AI

Devops, Cloud, Python, Forecasting, Data Analysis, Statistics, Medical Insurance

Tensorflow, Databricks, AWS, Python, Azure, Sklearn, Pytorch, XGBoost, MLFlow, CPLEX, Gurobi, MLlib