Revature
Senior Trainer – Artificial Intelligence & Machine Learning
Revature, Dallas, Texas, United States, 75215
Senior Trainer – Artificial Intelligence & Machine Learning
About the Role
We are seeking a passionate and technically strong
Senior Trainer - Artificial Intelligence & Machine Learning
to deliver our advanced AI curriculum focused on LLMs, Retrieval‑Augmented Generation (RAG), Agentic AI, and end‑to‑end deployment.
The ideal candidate will have a deep understanding of modern AI architectures and the ability to mentor learners in building autonomous, production‑grade AI systems — integrating retrieval pipelines, intelligent agents, and deployment workflows across real‑world scenarios.
About Revature Revature is one of the largest and fastest‑growing employers of technology talent across the U.S., partnering with Fortune 500 companies, leading System Integrators, and Government Contractors to identify experienced professionals who can be effective leaders.
Key Responsibilities
Deliver
engaging, project‑based sessions
on advanced topics in
AI, LLMs, and agentic AI development .
Train and mentor learners on:
Core AI/ML concepts:
supervised & unsupervised learning, deep learning, and NLP.
Large Language Models (LLMs):
transformer architecture, fine‑tuning, and prompt optimization.
Retrieval‑Augmented Generation (RAG):
vector databases, document retrieval, embeddings, and knowledge‑grounded responses.
Agentic AI Systems:
Designing and orchestrating
AI agents
capable of autonomous decision‑making.
Using
LangGraph ,
CrewAI , or
AutoGen
for
multi‑agent frameworks .
Integrating external tools, APIs, and reasoning loops for
dynamic task execution .
Understanding
memory management ,
context persistence , and
tool use
in agent frameworks.
AI Deployment & MLOps:
Building scalable APIs with
FastAPI
or
Flask .
Model packaging and orchestration with
Docker ,
Kubernetes , and
CI/CD pipelines .
Model tracking, experimentation, and monitoring with
MLflow ,
Weights & Biases , or
Vertex AI Pipelines .
Cloud AI Integration:
deploying and managing systems on
AWS (SageMaker) ,
Azure ML , or
GCP Vertex AI .
Lead
hands‑on projects
where learners build
RAG‑based chatbots ,
autonomous AI assistants , and
deployed LLM applications .
Collaborate on curriculum development to integrate
cutting‑edge AI research and tools
into the training modules.
Mentor learners through technical challenges, performance optimization, and model deployment.
Keep up to date with
LLM ,
agentic AI , and
generative AI
innovations to ensure curriculum relevance.
Required Skills & Qualifications
Experience:
4 to 5+ years in
AI/ML engineering ,
Data Science ,
Applied NLP , or
MLOps
roles.
Technical Expertise:
Proficiency in
Python
and AI libraries such as
PyTorch ,
TensorFlow , and
Transformers (Hugging Face) .
Strong experience with
LLMs ,
prompt engineering , and
fine‑tuning .
Practical understanding of
RAG systems
using
LangChain
and
vector databases
(e.g.,
FAISS ,
Chroma ,
Pinecone ).
Hands‑on experience in
agentic AI frameworks
(e.g.,
CrewAI ,
AutoGen ,
LangGraph , or
LangChain Agents ).
Knowledge of
tool integration ,
memory management , and
multi‑agent orchestration .
Experience deploying AI models with
FastAPI ,
Docker ,
Kubernetes , or
cloud‑native tools .
Familiarity with
MLOps pipelines ,
CI/CD automation , and
monitoring frameworks .
Exposure to
Generative AI APIs
such as
OpenAI ,
Anthropic Claude ,
Google Gemini , or
Azure OpenAI .
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, or Artificial Intelligence or similar technical discipline.
Excellent communication, mentoring, and technical training skills.
Proven experience conducting
technical workshops ,
bootcamps , or
corporate AI training programs
preferred.
Ready to
deliver on‑site and virtual training .
Preferred Skills/Attributes:
Certifications in
Machine Learning ,
Generative AI , or
Cloud AI services .
Experience developing
autonomous AI agents
and
multi‑agent ecosystems .
Working knowledge of
vector search optimization ,
knowledge graph integration , and
RAG performance tuning .
Understanding of
AI ethics, bias mitigation , and
responsible AI deployment .
Enthusiasm for teaching and guiding professionals through
hands‑on AI and MLOps implementations .
Equal Opportunity Employer Revature (“Company”) is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity, national origin, disability, age, genetic information, marital status, veteran status, or any other status protected under applicable federal, state, or local laws. This policy applies to all terms and conditions of employment, including but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, benefits, compensation, and training. If you require accommodation to work, based on any of these protected factors, please notify the Human Resources Department, and the Company will evaluate the request and provide accommodation in accordance with applicable law.
We seek to comply with all applicable federal, state, and local laws related to discrimination and will not tolerate interference with the ability of any of the Company's employees to perform their job duties. Our policy reflects and affirms the Company's commitment to the principles of fair employment and the elimination of all discriminatory practices.
Note: Work authorization in the country you are applying to is required. Revature does not sponsor work visas
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology and Engineering
Industries Software Development and IT Services and IT Consulting
Referrals increase your chances of interviewing at Revature by 2x
Dallas, TX $160,000 - $185,000 1 month ago
#J-18808-Ljbffr
Senior Trainer - Artificial Intelligence & Machine Learning
to deliver our advanced AI curriculum focused on LLMs, Retrieval‑Augmented Generation (RAG), Agentic AI, and end‑to‑end deployment.
The ideal candidate will have a deep understanding of modern AI architectures and the ability to mentor learners in building autonomous, production‑grade AI systems — integrating retrieval pipelines, intelligent agents, and deployment workflows across real‑world scenarios.
About Revature Revature is one of the largest and fastest‑growing employers of technology talent across the U.S., partnering with Fortune 500 companies, leading System Integrators, and Government Contractors to identify experienced professionals who can be effective leaders.
Key Responsibilities
Deliver
engaging, project‑based sessions
on advanced topics in
AI, LLMs, and agentic AI development .
Train and mentor learners on:
Core AI/ML concepts:
supervised & unsupervised learning, deep learning, and NLP.
Large Language Models (LLMs):
transformer architecture, fine‑tuning, and prompt optimization.
Retrieval‑Augmented Generation (RAG):
vector databases, document retrieval, embeddings, and knowledge‑grounded responses.
Agentic AI Systems:
Designing and orchestrating
AI agents
capable of autonomous decision‑making.
Using
LangGraph ,
CrewAI , or
AutoGen
for
multi‑agent frameworks .
Integrating external tools, APIs, and reasoning loops for
dynamic task execution .
Understanding
memory management ,
context persistence , and
tool use
in agent frameworks.
AI Deployment & MLOps:
Building scalable APIs with
FastAPI
or
Flask .
Model packaging and orchestration with
Docker ,
Kubernetes , and
CI/CD pipelines .
Model tracking, experimentation, and monitoring with
MLflow ,
Weights & Biases , or
Vertex AI Pipelines .
Cloud AI Integration:
deploying and managing systems on
AWS (SageMaker) ,
Azure ML , or
GCP Vertex AI .
Lead
hands‑on projects
where learners build
RAG‑based chatbots ,
autonomous AI assistants , and
deployed LLM applications .
Collaborate on curriculum development to integrate
cutting‑edge AI research and tools
into the training modules.
Mentor learners through technical challenges, performance optimization, and model deployment.
Keep up to date with
LLM ,
agentic AI , and
generative AI
innovations to ensure curriculum relevance.
Required Skills & Qualifications
Experience:
4 to 5+ years in
AI/ML engineering ,
Data Science ,
Applied NLP , or
MLOps
roles.
Technical Expertise:
Proficiency in
Python
and AI libraries such as
PyTorch ,
TensorFlow , and
Transformers (Hugging Face) .
Strong experience with
LLMs ,
prompt engineering , and
fine‑tuning .
Practical understanding of
RAG systems
using
LangChain
and
vector databases
(e.g.,
FAISS ,
Chroma ,
Pinecone ).
Hands‑on experience in
agentic AI frameworks
(e.g.,
CrewAI ,
AutoGen ,
LangGraph , or
LangChain Agents ).
Knowledge of
tool integration ,
memory management , and
multi‑agent orchestration .
Experience deploying AI models with
FastAPI ,
Docker ,
Kubernetes , or
cloud‑native tools .
Familiarity with
MLOps pipelines ,
CI/CD automation , and
monitoring frameworks .
Exposure to
Generative AI APIs
such as
OpenAI ,
Anthropic Claude ,
Google Gemini , or
Azure OpenAI .
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, or Artificial Intelligence or similar technical discipline.
Excellent communication, mentoring, and technical training skills.
Proven experience conducting
technical workshops ,
bootcamps , or
corporate AI training programs
preferred.
Ready to
deliver on‑site and virtual training .
Preferred Skills/Attributes:
Certifications in
Machine Learning ,
Generative AI , or
Cloud AI services .
Experience developing
autonomous AI agents
and
multi‑agent ecosystems .
Working knowledge of
vector search optimization ,
knowledge graph integration , and
RAG performance tuning .
Understanding of
AI ethics, bias mitigation , and
responsible AI deployment .
Enthusiasm for teaching and guiding professionals through
hands‑on AI and MLOps implementations .
Equal Opportunity Employer Revature (“Company”) is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity, national origin, disability, age, genetic information, marital status, veteran status, or any other status protected under applicable federal, state, or local laws. This policy applies to all terms and conditions of employment, including but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, benefits, compensation, and training. If you require accommodation to work, based on any of these protected factors, please notify the Human Resources Department, and the Company will evaluate the request and provide accommodation in accordance with applicable law.
We seek to comply with all applicable federal, state, and local laws related to discrimination and will not tolerate interference with the ability of any of the Company's employees to perform their job duties. Our policy reflects and affirms the Company's commitment to the principles of fair employment and the elimination of all discriminatory practices.
Note: Work authorization in the country you are applying to is required. Revature does not sponsor work visas
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology and Engineering
Industries Software Development and IT Services and IT Consulting
Referrals increase your chances of interviewing at Revature by 2x
Dallas, TX $160,000 - $185,000 1 month ago
#J-18808-Ljbffr