System Design, Application Development, Testing, Python, Cloud-native deployment patterns, Operational stability for ML or data-intensive systems

Machine Learning, Natural Language Processing, Deep Learning, Tensorflow, Autoencoders, Pytorch, Python, Computer Vision, Generative AI, Fine-tuning mechanisms, Adapter training, Multi-task learning, Generative modeling techniques, Bayesian Multi-fidelity Optimization techniques, Hyperparameter Optimization, Transformer architectures, diffusion

Sql, MLops, Gcp, Azure, Python, AWS, data pipelines, AI system design, LLMs, Cloud platforms, end-to-end AI solution development, CI-CD practices, RAG

snowflake , Sql, Amazon CloudWatch, AWS, Python, Docker, Git, LangSmith, API frameworks, Langfuse, MLflow, LLM systems, Snowpark, Snowflake Cortex, OpenTelemetry, Amazon Bedrock, AgentCore, LangChain, LangGraph

Python, agentic workflows, LLM powered applications, AI assisted development tools, AI driven services, API based integration development, AI enabled systems

Java, Prometheus, Elk Stack, Node.js, Grafana, Microservices, Typescript, MLops, Docker, Kubernetes, Python, AWS, LLMOps, Vector databases, Go, GraphQL API, Event-driven architectures

Docker, React, Vue.JS, Artificial Intelligence, Css, Full Stack, Angular, Computer Science

Machine Learning, Artificial Intelligence, Agile Methodologies, Nodejs, Data Modeling, Regression Testing, Automation, Microservices, Software Development Life Cycle, Performance Engineering, Cloud, Reactjs, Python, AWS, Mobile, Continuous delivery methods, AI-assisted software development tools

AWS, Java, Microservices, Grafana, Typescript, MLops, Prometheus, Node.js, Kubernetes, Python, Docker, Elk Stack, GraphQL API, Go, Vector databases, LLMOps, Event-driven architectures