Microservices, Distributed Systems, Python, Databases, Apis, MLops, orchestration tools, identity and access controls, containerisation, data processing libraries, security logging, model registries, large language models, observability, AI ML frameworks, Generative AI, automated evaluation, LLMOps, retrieval-augmented generation, prompt engineering, AI ML lifecycle, vector stores, infrastructure-as-code, CI CD pipelines, model APIs

Microservices, Distributed Systems, Python, Databases, Apis, MLops, orchestration tools, identity and access controls, containerisation, LLMOps platforms, data processing libraries, security logging, model registries, large language models, observability, AI ML frameworks, Generative AI, automated evaluation, retrieval-augmented generation, prompt engineering, AI ML lifecycle, vector stores, infrastructure-as-code, CI CD pipelines, model APIs

Typescript, Javascript, Python, vector databases, AI technologies

Tensorflow, Pytorch, Python, Java, Apis, Hadoop, Scala, MLops, Spark, Cloudera, Kubernetes, vector search, model governance, RAG embeddings, scikit-learn, MLflow, CI CD, cloud AI services, responsible AI, model evaluation, observability, LLMs, Monitoring, prompt engineering, Agentic AI, drift detection

Java, Spring Boot, Sql, Microservices, Git, Linux, Shell scripting, Postman, Rest Apis, AWS, Generative AI, Intelligent Automation, AI API Integration, Prompt Engineering, Large Language Models

Machine Learning, Alteryx, Power Bi, Api Development, Tableau, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Database Design, Azure Cloud services, Talend, GenAI, Ai, generative models, DataOps

Ml, Integrations, Coding, Distributed Systems, Software Engineering, Apis, Testing, Requirements Analysis, MLops, full-lifecycle software development, automated deployment pipelines, cloud-based applications, platform engineering, session context management, model evaluation, Continuous Improvement, architecture, Deployment, LLMOps, fine-tuning approaches, retrieval-augmented generation, Agents, prompt engineering, Production Support, backend services, LLM-based application development, applied AI

Prometheus, Grafana, Jenkins, MLops, Gcp, Docker, Flask, FastAPI, Azure, Kubernetes, Python, AWS, LangChain, Airflow, GitOps, MLflow, vector databases, GitHub Actions, OpenTelemetry, Kubeflow, GenAI frameworks, AIOps