Required Skill Set (Advanced Level)

• Expertise in IT Infrastructure and Cloud Management Deep proficiency in architecting, implementing, and optimizing hybrid/multi-cloud environments (AWS, Azure, Google Cloud, VMware, etc.), advanced networking (SD-WAN, zero-trust), virtualization/containerization (Kubernetes, Docker), and infrastructure-as-code (Terraform, Ansible, CloudFormation). Ability to build resilient, high-performance foundations that support AI/ML workloads and intelligent automation at scale.
• AI and Data Analytics Proficiency Hands-on advanced experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn), AI tooling ecosystems, big data platforms (Spark, Databricks, Snowflake), and analytics pipelines. Proven track record of applying AI/ML to deliver predictive maintenance, anomaly detection, intelligent automation, and actionable business intelligence — the core differentiator of an MIP over traditional MS...