Tensorflow, Machine Learning, Pytorch, Azure, Google Cloud, AWS, Deep Learning, Feature Engineering, Data Preprocessing

Pytorch, Tensorflow, Python, NLP techniques and libraries, Basic MLOps practices, Azure ML or equivalent cloud ML services

data engineering , .NET, production deployment , Java, Scalability, Data Science, Cloud, System Design, Backend Engineering, Integration, Python, ML Engineering, Generative AI, LLMs, Agentic AI, Security, RAG, architecture, AI frameworks, AI application development

Machine Learning, Gcp, Docker, Flask, FastAPI, Rest Apis, Azure, Kubernetes, Python, AWS, LangChain, Airflow, Generative AI, Hugging Face, MLflow, Pinecone, Agentic AI, FAISS, ChromaDB, Weaviate, Prompt Engineering, LlamaIndex

Django, Git, Docker, FastAPI, Rest Apis, Python, Microservices, PostgreSQL, Prometheus, Kafka, Grafana, Datadog, Sql, Nosql, Gcp, MySQL, MongoDB, Splunk, Azure, Kubernetes, AWS, Generative AI, LLMs, CI CD automation, AI ML concepts, RAG, Event-driven architectures

data preparation , prophet , Sql, Tensorflow, Numpy, Pandas, MLops, Pytorch, Gcp, Azure, Python, AWS, Generative AI, Feature Engineering, Scikit-learn, Model Optimization, CI CD, Agentic AI, Time Series Forecasting, Hyperparameter Tuning, RAG, Large Language Models

BigQuery, Dataproc, Sql, Jenkins, Cloud Storage, Terraform, Sonarqube, DataFlow, Python, Logging, Cloud Functions, Cloud Build, Cloud Monitoring, GitHub Enterprise, Pub Sub, GitHub Actions, Cloud Run, Dataplex, Vertex AI