Pyspark, Sql, Git, Docker, Terraform, Spark, Databricks, Python, AWS, CI/CD tools, MLflow, Workflow orchestration

Pyspark, AWS Glue, Prometheus, Grafana, Sql, Apache Airflow, Git, Docker, Terraform, Spark, Databricks, Python, Kubernetes, AWS, Step Functions, MLflow, EventBridge, OpenTelemetry, CI/CD

Pyspark, AWS Glue, Sql, Apache Airflow, Jenkins, Docker, Terraform, Spark, Databricks, Python, Aws S3, Step Functions, Databricks Delta Lake, MLflow, EventBridge, GitLab CI, Harness, GitHub Actions, Databricks Workflows

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

Aws Services, Api Development, Pyspark, Jenkins, MLops, Docker, Databricks, Python, CrewAI, ML AI applications, MLflow, CI CD, LangGraph, GitHub Actions, AI governance, evaluation frameworks for AI systems

Machine Learning, MLops, Apis, Containers, Python, Sql, Deep Learning, Generative AI, On-premises deployments, Ai

systems architecture , scalable web applications , Cloud deployment, Programming, Backend Development, Api, Computer Engineering, Information Technology, Testing, Operational Excellence, Reliability Requirements, Generative AI Application Development and Deployment, Computer Science, Security, Cloud Native Architecture, Collaboration

Apis, Distributed Systems, Python, Cloud-native architectures, AWS cloud services, Backend application development, Software engineering best practices, CI CD pipelines, AI ML application deployment