Pyspark, Automated Testing, Data Modeling, Sql, ELT, Git, Azure Data Factory, Databricks, Python, Etl, MLOps lifecycle management, analytics engineering, CI/CD, ML model deployment, machine learning concepts

Rust, C++, MLops, Linux, Bash, Kubernetes, Python, AI infrastructure, advanced networking, deep learning frameworks, Go, distributed filesystems, CI/CD pipelines, GitOps workflows

Azure ML, Azure Data Factory, Databricks, Azure DevOps, Devops, MLops, Data Lake, LangChain, Synapse, ML pipelines, Retraining workflows, CI/CD pipelines, Drift detection

AWS, Pytorch, Kubernetes, Python, Tensorflow, Azure, Docker, Gcp, Scikit-learn

Prometheus, Grafana, Datadog, Terraform, Python, Bash, Pulumi, Databricks, Kubernetes, Amazon SageMaker AI, Infrastructure as Code, AWS CDK, Go, RAGAS, MLflow, Feast, LangSmith, OpenTelemetry, Kubeflow, Google Vertex AI, Weights Biases, GKE, AKS, EKS, Dataiku, CI CD pipelines, Evidently AI

CI CD pipelines

containerization , Azure ML, Distributed Systems, Etl, Arm, Kubernetes, Pyspark, Python, Docker, Terraform, Scala, Bicep, feature engineering, data architectures, infrastructure automation, ML workflows, Data Analytics tools, DevOps practices, CI CD pipelines, MLOps tooling

Apis, Microservices, Rest Apis, Python, LLM and agent evaluation frameworks, model governance, LLMs, multi-agent orchestration, agent memory design, enterprise data concepts, tool-calling capabilities, agent development frameworks, GenAI applications, observability and tracing, guardrails for AI agents, RAG architecture

Elk, Prometheus, Grafana, Nosql, Terraform, Python, AWS, Bash, Sql, Gcp, Ansible, Dynatrace, Splunk, Azure, Kubernetes, Jenkins, MLops, OpenSearch, BigPanda, Moogsoft, Open Telemetry, Harness, GitHub Actions, RAG Models, Generative AI, CI/CD pipelines, ServiceNow ITOM AIOps, PagerDuty, LLM’s