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

react.js , Sqlalchemy, Nginx, Machine Learning, Pyspark, PostgreSQL, Django Rest Framework, Javascript, Ec2, Flutter, Python, AWS, Sql, Deep Learning, Django, Pandas, Load Balancing, Databricks, FastAPI, AI Agents, Chatbots, CI CD, LangGraph, GitHub Actions, Dify, LangChain, Generative AI, LLMs, OpenAI API, AGNO, RAG, Prompt Engineering

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

Ml, Computer Architecture, Algorithms, C, C++, Data Structures, Operating Systems, Memory Systems, Ai

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

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

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

Algorithms, Software Development, Debugging, data structures, Programming Languages, ML infrastructure, model evaluation, Data Processing, Optimization, model deployment, reinforcement learning

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