Position: AWS Cloud Engineer / Location: Las Vegas, NV
Strong experience with core AWS services: VPC, EC2, S3, IAM, Route 53, Backups, EKS, SSO, MSK, Security Hub, GuardDuty, and related security/compliance tooling.
• Advanced networking knowledge, including hands-on experience with AWS Transit Gateway (TGW) and Direct Connect — setup, troubleshooting, and hybrid connectivity.
• Observability & Monitoring: Experience with Amazon CloudWatch, Grafana, OpenTelemetry (OTEL), and proactive alerting and telemetry configuration.
• Infrastructure as Code & Automation: Proficient in Terraform, GitLab CI/CD, and Shell scripting for end-to-end automation.
• Container Orchestration: Solid understanding of Kubernetes (EKS) and Istio service mesh for traffic management, security, and observability.
• Security & Patching: Experienced in patching and vulnerability remediation in cloud-native and containerized environments, aligned with best practices and compliance.
• Programming & Scripting: Hands-on Python or Bash development experience for scripting, automation, and infrastructure tooling.
• Problem-solving mindset with the ability to work efficiently in fast-paced, Agile/Scrum environments and collaborate across cross-functional teams.
* Work in fast paced environments.Strong experience with core AWS services: VPC, EC2, S3, IAM, Route 53, Backups, EKS, SSO, MSK, Security Hub, GuardDuty, and related security/compliance tooling.
• Advanced networking knowledge, including hands-on experience with AWS Transit Gateway (TGW) and Direct Connect — setup, troubleshooting, and hybrid connectivity.
• Observability & Monitoring: Experience with Amazon CloudWatch, Grafana, OpenTelemetry (OTEL), and proactive alerting and telemetry configuration.
• Infrastructure as Code & Automation: Proficient in Terraform, GitLab CI/CD, and Shell scripting for end-to-end automation.
• Container Orchestration: Solid understanding of Kubernetes (EKS) and Istio service mesh for traffic management, security, and observability.
• Security & Patching: Experienced in patching and vulnerability remediation in cloud-native and containerized environments, aligned with best practices and compliance.
• Programming & Scripting: Hands-on Python or Bash development experience for scripting, automation, and infrastructure tooling.
• Problem-solving mindset with the ability to work efficiently in fast-paced, Agile/Scrum environments and collaborate across cross-functional teams.
TechM196557 - Tech Lead (TECHM-JOB-63058) Dallas, TX
Job Title : AI ML Engineer -- Dallas , TX ( Onsite)
Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert
About the Role:
We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement.
Key Responsibilities:
Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.
Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.
Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.
Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.
Required Qualifications:
6+ years in software development (4+ in NLP/NLU for chat).
Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
Proficiency in GCP services and cloud-native architectures.
Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git).
Experience with Agent Assist functionality is a plus.
Preferred Qualifications:
Master’s/PhD in Computer Science, AI/ML, or related field.
GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
Experience with GenAI frameworks (PaLM, Gemini).
Integration with CRM, knowledge bases, and live agent systems.
Knowledge of security and compliance in chat AI.
Soft Skills:
Excellent communication and collaboration.
Strong ownership and end-to-end project delivery.
Leadership in cross-functional environments.
Team Leading and Management.
