embeddings, document ingestion, LLMs, traditional ML, hybrid approaches, context management, hallucination mitigation, RAG pipelines, prompt orchestration, retrieval pipelines, production-grade AI systems

Algorithms, Tensorflow, Deep Learning, Nlp, Pytorch, Docker, data structures, Python, Java, Scala, Azure ML, Computer Vision, Kubernetes, Airflow, RAG systems, Go, MLflow, vector databases, software engineering principles, Vertex AI, Kubeflow, MLOps tools, LLMs, Scikit-learn, SageMaker

Algorithms, Tensorflow, Deep Learning, Nlp, Pytorch, Docker, data structures, Python, Java, Scala, Azure ML, Computer Vision, Kubernetes, Airflow, RAG systems, Go, MLflow, vector databases, software engineering principles, Vertex AI, Kubeflow, MLOps tools, LLMs, Scikit-learn, SageMaker

Tensorflow, Java, Deep Learning, Pytorch, Kubernetes, Python, Algorithms, Docker, Computer Vision, Scala, Nlp, Azure ML, data structures, LLMs, MLOps tools, Airflow, Vertex AI, Kubeflow, MLflow, Go, software engineering principles, Scikit-learn, SageMaker

Algorithms, Java, Tensorflow, Deep Learning, Pytorch, Computer Vision, Scala, Azure ML, Kubernetes, Python, Docker, Nlp, data structures, LLMs, Airflow, CI CD pipelines, MLOps tools, Vertex AI, Kubeflow, MLflow, Go, software engineering principles, Scikit-learn, vector databases, SageMaker, RAG systems

Java, Tensorflow, Deep Learning, Pytorch, Computer Vision, Scala, Azure ML, Python, Kubernetes, Algorithms, Docker, Nlp, data structures, Airflow, LLMs, fine-tuning LLMs, CI CD pipelines, MLOps tools, Vertex AI, MLflow, Kubeflow, Go, software engineering principles, Scikit-learn, vector databases, SageMaker, RAG systems

Software Engineering, Data Governance, AI ML, Recommender Systems, graph techniques, similarity search, training and fine-tuning large language models LLMs, AI operations AIOps, LLM operations LLM Ops, search ranking, cloud-native experience, machine learning operations MLOps, large language model LLM techniques

AI Integration Tools - LangChain LlamaIndex, Tensorflow, Pytorch, Machine Learning Frameworks, AI model fine-tuning techniques, Prompt engineering, AWS Bedrock, Vector Database architectures, Advanced Python programming for AI ML applications, Retrieval Augmented Generation RAG, Hugging Face, LoRA Low-Rank Adaptation techniques, Amazon SageMaker, Machine Learning architectures, Generative AI Technologies, AI system design and integration, GraphRAG methodologies, Cloud-native AI solution design, Large Language Models LLMs, AWS AI services, Agentic AI design principles

API development and integration, Python, Monitoring observability or MLOps concepts, Agentic frameworks or orchestration patterns, Generative AI and LLMs, Tool calling and action execution, CI CD and modern DevOps practices

Python, Django, Azure ML, Tensorflow, Rest Api, Azure DevOps, Next.js