Senior AI/ML Platform Engineer

Title:- Senior AI/ML Platform Engineer AWS DevOps & Infrastructure Automation.

Key Responsibilities

• Design, develop, and manage AWS-based cloud infrastructure and platform services
• Build and maintain Infrastructure as Code (IaC) solutions using Terraform
• Develop AI/ML-powered automation solutions for infrastructure, operations, and platform engineering workflows
• Implement and optimize CI/CD pipelines to support efficient software delivery and infrastructure deployments
• Enhance observability and monitoring capabilities using Dynatrace, Grafana, Splunk, and related tools
• Build intelligent automation for alert triage, incident response, root cause analysis, and operational workflows
• Collaborate with DevOps, SRE, Engineering, Product, and Operations teams to identify automation opportunities and improve platform reliability
• Develop and support MLOps processes including model deployment, monitoring, governance, and lifecycle management
• Create automation scripts using Python, Bash, Shell, or Groovy
• Support cloud modernization initiatives and platform transformation efforts

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
• 7+ years of experience in Cloud Engineering, DevOps, Platform Engineering, or Infrastructure Engineering
• Strong hands-on experience with AWS cloud services and infrastructure management
• Expertise in Terraform and Infrastructure as Code (IaC)
• 3+ years of experience with observability and monitoring tools such as Dynatrace, Grafana, and Splunk
• Strong experience building and maintaining CI/CD pipelines
• 2 3+ years of hands-on AI/ML engineering experience in production environments
• Strong programming and automation skills using Python
• Experience with scripting languages such as Bash, Shell Script, or Groovy
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience implementing MLOps practices and AI-driven automation solutions
• Strong understanding of cloud architecture, automation, monitoring, and operational excellence

Preferred Qualifications

• Experience with Generative AI, LLMs, Agentic AI, RAG, or AI-assisted development tools
• Experience with Kubernetes, Docker, Ansible, or CloudFormation
• Java development experience
• Experience building AI-powered observability or operational automation platforms
• Experience working in large-scale enterprise or financial services environments
• Knowledge of SRE practices, incident management, and platform reliability engineering

Required Technical Skills

• AWS Cloud Services
• Terraform
• CI/CD Pipelines
• DevOps & Platform Engineering
• Python
• AI/ML Engineering
• MLOps
• Dynatrace
• Grafana
• Splunk
• Bash/Shell/Groovy