Cloud platforms (preferably AWS), Java, Python, AI-assisted software development tools, Go

Java, Spark, XGBoost, Python, AWS, cloud native experience, statistical models, Go, regressions, GenAI concepts, agentic systems, AI-assisted software development tools, ML tools

theoretical physics , Machine Learning, Artificial Intelligence, Control Algorithms, Software Development, Data Pipelines, Simulation-Driven Engineering, Physics-Informed Neural Networks, Systems engineering, Computer-Aided Engineering, Statistical Modeling, Computational Methods

BigQuery, Google Cloud, Python, Sql, Cloud Run, GKE, Vertex AI, CI/CD

Github, Buildkite, Performance Tuning, test automation, Tensorflow, Pytorch, Linux, Debugging, System Monitoring, Python, K8S, Profiling Tools, CI CD, SLURM, GitHub Actions, AI frameworks

PYTHON - AI-Data Science, Machine Learning, Technology, AI-Data science, AI-Generative AI, Generative AI for Data Analytics

Scalability, Sql, Ml, Model Building, Deep Learning, Predictive Modelling, AWS, Python, Azure, Nlp, Hypothesis Testing, Data Cleaning, LLMs, Feature Engineering, Unsupervised Machine Learning, Supervised Machine Learning, Prompt Engineering, Ai, Operationalization, Experimentation Setup, Vector Databases, Transformer Architectures, RAG Applications

MLops, Python, Azure Infrastructure, Azure DevOps, automated testing frameworks, CI CD workflows, Data AI Projects, Generative AI solutions, scalable RAG systems, deployment and governance of AI applications, GPT models, vector databases, secure data pipelines, Azure OpenAI integration, Azure AI Search, model tuning, prompt engineering

Neural Networks, Python Frameworks, image processing algorithms, chatbot development, generative AI models, deep learning techniques, AI applications, cloud AI services, on-premises infrastructure