Onsite AI/ML & GenAI Engineer for Healthcare (Plano, TX)

Startekk Inc; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Startekk Inc in Plano, TX seeks an onsite AI/ML and Generative AI Engineer to build enterprise healthcare AI solutions across ML, LLM, NLP, and conversational assistants.

Responsibilities include designing, training, and deploying ML models, building pipelines on Google Cloud (Vertex AI, BigQuery ML), and developing GenAI/chatbot solutions. Candidates should handle HIPAA concerns and work with cross-functional teams.

Qualifications

• AI/ML domain expertise with healthcare familiarity preferred.
• Proficient in Python programming and cloud platforms.
• Experience with Vertex AI, BigQuery ML, and GenAI/LLMs.
• Familiar with NLP, Kore.AI, and model evaluation.
• Hands-on with TensorFlow, PyTorch or Scikit-learn and CI/CD.
• Experience with HIPAA/PHI data handling is a plus.

Responsibilities

• Design, train, and deploy ML models using Python on cloud platforms.
• Build ML pipelines on Google Cloud including Vertex AI and BigQuery ML.
• Develop Generative AI and LLM-based solutions and chatbots.
• Prepare datasets: labeling, cleaning, curation for NLP/LLM tasks.
• Evaluate outputs for accuracy, relevance, quality, and consistency.
• Develop automated testing and integrate into CI/CD pipelines.
• Monitor, troubleshoot, and optimize deployed AI models and assistants.
• Collaborate with data engineering, product, QA, and business teams.

Skills

AI/ML

Python

GCP

Vertex AI

BigQuery ML

Generative AI

LLMs

NLP

Kore.AI

TensorFlow

PyTorch

Scikit-learn

CI/CD

Tools

Kore.AI

Vertex AI

BigQuery ML

TensorFlow

PyTorch

Scikit-learn

Job description

Startekk Inc in Plano, TX seeks an onsite AI/ML and Generative AI Engineer to build enterprise healthcare AI solutions across ML, LLM, NLP, and conversational assistants.

Responsibilities include designing, training, and deploying ML models, building pipelines on Google Cloud (Vertex AI, BigQuery ML), and developing GenAI/chatbot solutions. Candidates should handle HIPAA concerns and work with cross-functional teams.