Power Bi, Tableau, Sql, Azure ML, Git, MLops, Databricks, CI CD Scripting, Deployment Tracking, Model Lifecycle Management, MLflow, Lineage, versioning, Model Registry, Reproducibility, Data Analysis, Monitoring

Saml, Css3, Sso, Git, Html5, Agile, Process Builder, APEX, Soql, JavaScript ES6, Salesforce DX, Flow, OAuth 2.0, Aura components, Salesforce Experience Cloud, Salesforce CMS, Experience Builder

.NET, Github, Linq, PowerShell, Bash, Jira, Sql, Gcp, Docker, Agile Software Development, Azure, Kubernetes, Python, AWS, Go, Dynatrace APM, GitHub Actions, Relational Databases, backend automation framework, oci

Make Files, Embedded Linux, Network Programming, Linux Administration, Linux Device Driver Development, Git, Debugging Tools, Yocto, Network configuration, Shell scripting, Hardware schematics and datasheets, Kernel Development, U-Boot, Buildroot, ARM microprocessor peripheral driver development, Profiling Tools

JIRA, Svn, Python Scripting, Verification And Validation, Git, LabVIEW, GSM, PCAN, Embedded systems testing, Gps, UDS testing, Vector V-SPY, 5G technologies

MLFlow and PowerBI/Tableau. Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, or equivalent. Strong SQL and data analysis skills for validation, and reporting. Experience with model lifecycle management, and monitoring. Familiarity with dashboards and alerting tools such as Power BI, or equivalent. Working knowledge of Git, and production support practices would be advantageous. Analytical and pragmatic, Databricks, Azure ML, Tableau, Scripting, Experience with MLOps processes and tools Experience with SQL, Troubleshooting, Monitoring, including model registry, versioning, lineage, reproducibility, deployment tracking, Databricks SQL dashboards, CI/CD, with the ability to interpret governance principles into implementation plans Clear communicator who can explain complex technical risks and solutions to non-technical stakeholders Self-driven and proactive, comfortable working in a fast-paced environment Familiarity with ML and data development process in telco environment Bachelor’s or Master’s degree in Computer Science or a related field

Tensorflow, Keras, Java, Hadoop, Machine Learning, AWS, Pytorch, Python, Git, Spark, AIP, Scikit-learn, Palantir Foundry