data engineering , Machine Learning, Pyspark, It Infrastructure, API Design, Software Development, Microsoft Azure, Software Quality Assurance, Hadoop, Apache Spark, Devops, MLops, Apache Kafka, Azure Machine Learning, Enterprise Integration Patterns, AI Model Lifecycle Management, Microservices Architecture, Data Processing, AI Technology Landscape, Generative AI, Azure OpenAI Service, Containerisation, AI Design Patterns, CI/CD, Azure Kubernetes Service

Apis, Database Systems, Cybersecurity, Cloud Infrastructure, Linux, Docker, Authentication, Python, LLMs, GPU infrastructure, Vector databases, Open-source AI models, RAG, AI agents, AI application development

REST, Advanced Analytics, Soap, Generative AI, APIs customization and integration, Vendor management, Project Management, Conversational AI, AI-driven personalization engines, LLMs, Machine learning frameworks, Risk management

platform management , Artificial Intelligence, Software Architecture, Computer Engineering, Data Intelligence, Generative AI, Technical Skills, Talent Selection, Deployment Plan, Language Models, Cloud Native Architecture, Education, Model Deployment, Liaising with cross functional teams, Collaborate With Internal Team, Solutions Sales

Prometheus, Flux, Grafana, Tensorflow, Git, Pytorch, Terraform, Ansible, Kubernetes, Python, MLflow, vLLM, OpenTelemetry, Kubeflow, Jupyter, KServe, ArgoCD

Technical Leadership, Machine Learning, Natural Language Processing, Performance Monitoring, Artificial Intelligence, Api Integration, Scalability, system integration, Cloud Architecture, AI system design, generative AI, AI platforms, digital technologies, machine learning tools, AI integration frameworks, cloud computing services, digital collaboration systems, Security, workflow automation, intelligent automation, AI application development

systems architecture , API design, RAG systems, computer vision pipelines, vector databases, generative AI agentic workflows, responsible AI, enterprise integration patterns, automated evaluations, personal data protection, AI safety infrastructure, observability, orchestration frameworks, cloud-native architecture, data platforms, AI infrastructure, model drift monitoring, risk-posture dashboards, prompt-injection defence, MLOps tooling, LLM serving infrastructure, deployment playbooks, AI platform components, model serving, integration layers

Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), solution architecture, Machine Learning, Api Integration, MLops, Software Engineering, Cloud Computing, Generative AI, model fine-tuning, AI Agents, AI platforms, vector databases, customer-facing technical consulting, inference optimization, Prompt Engineering, cloud-native AI architectures

Machine Learning, Data Science, Gcp, Azure, AWS, LLM application architectures, agentic fine-tuning, Claude, open-source, agent frameworks, Gen AI, LangGraph, AutoGen, foundational model markets, DSPy eval methodology, Mistral, Llama, RAG, OpenAI, LlamaIndex

model selection , Data Architecture, API design, Microservices, AI development frameworks, generative AI, enterprise integration platforms, LLM evaluation guardrails, cloud platforms, multi-agent orchestration frameworks, AI-assisted code generation tooling, prompt engineering, vector database technologies, agentic workflows, context management, data mesh, large language models, latency optimization, event-driven architecture, integration patterns, observability tooling