data engineering , Ml, ontology governance frameworks, semantic modeling strategy, Ai, enterprise knowledge graph initiatives, formal knowledge representation, ontologies

Machine Learning, Tableau, Tensorflow, Nlp, Pytorch, Docker, Predictive Analytics, Python, AWS, Hadoop, Power Bi, Sql, Git, Gcp, MLops, Spark, Databricks, Azure, Kubernetes, Computer Vision, Airflow, MLflow, R, Recommendation Systems, Time Series Forecasting, CI CD pipelines, Statistical Modeling, model deployment strategies

data engineering , Machine Learning, Network Engineering, Artificial Intelligence, Database Administration, Cloud Architecture, Backend Development, Quality Assurance Testing, It Infrastructure Management, System Design, Full Stack Development, DevOps Engineering, Financial Analysis, Business Analysis, Project Management, Technical Support, Data Analysis, Business Intelligence

H W experience, Knowledge management platforms, Agentic AI concepts, data models, Knowledge repositories, AI technologies, Workflow automation solutions

Ml, Integrations, Apis, Data Modeling, Sql, Data Governance, Databricks, automation, Python, data pipelines, cloud-native software, scalable application architecture, Reliability, LLM-enabled applications, Ai, CI CD, agentic workflows, lakehouse architecture, Security, dbt

Tensorflow, Pytorch, Apis, Argo, Spark, Distributed Systems, Kubernetes, Airflow, GPU infrastructure, Flyte, Hugging Face, GCP managed services, Ray, Feast, Orchestration engines, Experiment tracking, Kubeflow, MLFlow, Metaflow, AI ML frameworks, Model registries, Data Processing, WnB, Lineage, SageMaker, MLOps stack, VertexAI, SDKs, Feature stores

Power Bi, SAS, Advanced Excel, Databricks, Ms Office, Python, Word, Powerpoint, Ai

Pci Dss, Gdpr, Soc, Iso 27001, automation, Prince2, PMP-ACP, cybersecurity compliance, SOC 2, FEDRAMP, Pmp, AI-enabled capabilities, program management, nist, NIST 800-53, CMMC, PgMP