S
AI/ML & Generative AI Engineer
Startekk Inc
3 hours ago
Full-time
On-site
Plano, Texas, United States
Startekk Inc is hiring an onsite AI/ML and Generative AI Engineer in Plano, TX to build enterprise healthcare AI solutions across ML, LLM, NLP, and conversational assistants.
Responsibilities
Design, develop, train, and deploy machine learning models using
Python
and cloud-based AI platforms
Build and maintain
ML pipelines
on
Google Cloud , including
Vertex AI
and
BigQuery ML
Develop and implement
Generative AI
and
LLM-based
solutions
Design, develop, and configure
conversational AI bots
using
Kore.AI
Prepare, clean, curate, and label datasets for
LLM
and
NLP
applications
Evaluate AI-generated outputs for
accuracy ,
relevance ,
quality , and
consistency
Develop and maintain automated testing frameworks for
AI/ML
and
GenAI
applications
Validate model performance and integrate automated testing into
CI/CD pipelines
Monitor, troubleshoot, and optimize deployed AI models and conversational assistants
Collaborate with
data engineering ,
product ,
QA , and
business
teams to productionize AI solutions
Requirements
Artificial Intelligence and Machine Learning (AI/ML)
Python
programming
Google Cloud Platform (GCP)
Experience with
Vertex AI
and
BigQuery ML
Generative AI
and
Large Language Models (LLMs)
Natural Language Processing (NLP)
Experience with
Kore.AI
conversational AI platform
ML frameworks such as
TensorFlow ,
PyTorch , or
Scikit-learn
Data preparation, curation, labeling, and evaluation
SDET
and test automation experience for AI-enabled applications
Experience developing and deploying
enterprise AI/ML
solutions
Healthcare domain experience, including
claims processing
or
member engagement platforms
(as applicable)
Experience with conversational AI and virtual assistant development
Knowledge of model evaluation, monitoring, and optimization
Experience working in
healthcare
or other
regulated
environments
Working knowledge of
HIPAA
and
PHI
data handling
Ability to handle
Protected Health Information (PHI)
securely
Strong communication and collaboration skills with cross-functional teams
Understanding of
healthcare data
and business processes
Knowledge of
HIPAA compliance
requirements
Onsite Location & Deployment Context
Location:
Plano, TX ( onsite )
Onshore healthcare technology opportunity in the United States
Candidates should have relevant hands-on experience in one or more of the listed AI/ML and Generative AI technology areas
Technologies
Python
Google Cloud Platform (GCP)
Vertex AI
BigQuery ML
Generative AI
Large Language Models (LLMs)
Natural Language Processing (NLP)
Kore.AI
TensorFlow, PyTorch, Scikit-learn
CI/CD
#J-18808-Ljbffr
Responsibilities
Design, develop, train, and deploy machine learning models using
Python
and cloud-based AI platforms
Build and maintain
ML pipelines
on
Google Cloud , including
Vertex AI
and
BigQuery ML
Develop and implement
Generative AI
and
LLM-based
solutions
Design, develop, and configure
conversational AI bots
using
Kore.AI
Prepare, clean, curate, and label datasets for
LLM
and
NLP
applications
Evaluate AI-generated outputs for
accuracy ,
relevance ,
quality , and
consistency
Develop and maintain automated testing frameworks for
AI/ML
and
GenAI
applications
Validate model performance and integrate automated testing into
CI/CD pipelines
Monitor, troubleshoot, and optimize deployed AI models and conversational assistants
Collaborate with
data engineering ,
product ,
QA , and
business
teams to productionize AI solutions
Requirements
Artificial Intelligence and Machine Learning (AI/ML)
Python
programming
Google Cloud Platform (GCP)
Experience with
Vertex AI
and
BigQuery ML
Generative AI
and
Large Language Models (LLMs)
Natural Language Processing (NLP)
Experience with
Kore.AI
conversational AI platform
ML frameworks such as
TensorFlow ,
PyTorch , or
Scikit-learn
Data preparation, curation, labeling, and evaluation
SDET
and test automation experience for AI-enabled applications
Experience developing and deploying
enterprise AI/ML
solutions
Healthcare domain experience, including
claims processing
or
member engagement platforms
(as applicable)
Experience with conversational AI and virtual assistant development
Knowledge of model evaluation, monitoring, and optimization
Experience working in
healthcare
or other
regulated
environments
Working knowledge of
HIPAA
and
PHI
data handling
Ability to handle
Protected Health Information (PHI)
securely
Strong communication and collaboration skills with cross-functional teams
Understanding of
healthcare data
and business processes
Knowledge of
HIPAA compliance
requirements
Onsite Location & Deployment Context
Location:
Plano, TX ( onsite )
Onshore healthcare technology opportunity in the United States
Candidates should have relevant hands-on experience in one or more of the listed AI/ML and Generative AI technology areas
Technologies
Python
Google Cloud Platform (GCP)
Vertex AI
BigQuery ML
Generative AI
Large Language Models (LLMs)
Natural Language Processing (NLP)
Kore.AI
TensorFlow, PyTorch, Scikit-learn
CI/CD
#J-18808-Ljbffr