AI/ML Engineer

Overview

On Site
$60 - $70
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Unable to Provide Sponsorship

Skills

Vertex AI
CCAI
Dialog flow
NLP
LLM
GenAI

Job Details

Job Title: AI/ML Engineer

Location: Dallas, TX (Onsite)

Job Type: Long Term Contract

Experience Level: 10+

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 Dialog flow 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 Google Cloud Platform 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:

5+ years in software development (4+ years in NLP/NLU for chat).

Technical Skills:

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 Google Cloud Platform 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.

Google Cloud Platform certifications (e.g., Google Cloud Certified Professional ML Engineer).

Experience with GenAI frameworks (PaLM, Gemini).

Integration with CRM systems, knowledge bases, and live agent platforms.

Knowledge of security and compliance in chat AI.

Soft Skills:

Excellent communication and collaboration skills.

Strong ownership and end-to-end project delivery mindset.

Leadership experience in cross-functional environments.

Team leading and management experience.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.