Deep Learning, Neural Networks, Image Processing, Virtual Agents, Design and implement scalable and efficient AI solutions, Chatbots, Natural language processing techniques and tools, AI frameworks and libraries such as TensorFlow or PyTorch

S3, Aws Lambda, Apis, MLops, Docker, Distributed Systems, Kubernetes, AWS, AI ML solutions, NLP-based systems, data pipelines, model versioning, vector databases, Amazon SageMaker, CI CD, EKS, Glue, RAG pipelines, LLM-based applications, machine learning models

Machine Learning, Spark, Kafka, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Docker, XGBoost, Kubernetes, Python, scikit-learn, Airflow, MLflow, Recommendation systems, anomaly detection, ONNX, Cv, time series forecasting, AI model optimization

Pytest, Data Modeling, Rest Apis, Python, Sql, Microservices, Data processing libraries, Git-based development, Test automation frameworks

Data Science, AI ML, Generative AI, Evaluation, Modelling, model optimisation, LLMs, Data Collection, MCP Multimodal RAG, LVM Agentic AI

Machine Learning, Artificial Intelligence, Python, Sql, Pytorch, Generative AI

Artificial Intelligence, Machine Learning, Core Python, Python, Generative AI, Large Language Models, Llm, Generative AI Applications, RAG, Retrieval-Augmented Generation

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Sql, Statistical Analysis, Deep Learning