statistical data analysis , Data Manipulation, Machine Learning, Sql, Python Programming, Clustering, Software Development Methodologies, UNIX command line, Agile development practices, anomaly detection, Classification, ML Ops, feature engineering, Azure AI Search

simulation modeling , Gcp, Databricks, Azure, Sql, Python, Optimization Techniques, LLM-based applications, time-series forecasting

Tensorflow, Nlp, Pytorch, Docker, Python, Azure ML, Kubernetes, vector search, SAM, Pinecone, CI CD, Whisper, cloud ML stacks, Vertex AI, video transformers, LLaVA, LangChain, multimodal LLM frameworks, ViT, speech models, BLIP, SageMaker, Cv, FAISS, Weaviate, LlamaIndex

Machine Learning, Pyspark, Unsupervised Learning, Deep Learning, Gcp, Azure, Python, AWS, model training, supervised learning, Deployment, hyperparameter tuning

Tensorflow, Nlp, MLops, Pytorch, Databricks, Azure, Python, Deep Learning, LangGraph

Tensorflow, Numpy, Pandas, Pytorch, Python, Statistical Analysis, R, Scikit-learn

Sql, AWS, Nltk, Pytorch, Python, Azure, Gcp, Nlp, Scikit-learn, GPT, BERT, Transformer-based models

Python, Sql, Pytorch, Computer Vision, Distributed Systems, MLops, Spark

Deep Learning, Tensorflow, Machine Learning, Scala, Pyspark, Spark, Keras, Python, GenAI, scikit-learn, MLlib

Pandas, Tableau, Neural Networks, Numpy, Google Maps Api, Controller Area Network Protocol, Svm, Decision Trees, Powerbi, python, Spark, Generalized Linear Models, Boosting, time-series/IoT data analytics, on-board sensors, AWS Sagemaker, clustering techniques, Data Visualization techniques, time series models, unsupervised machine learning algorithms, Market Research data analysis, IBM AutoAI, GPS data, Bayesian Methods, Google AutoML, visualization tools, Cloud Computing Platforms, remote team members