AI/ML & Generative AI Engineer – GCP / Kore.AI / LLM / NLP
About The Position
StarTekk is seeking experienced AI/ML and Generative AI Engineers to design, develop, deploy, and maintain enterprise AI solutions that support healthcare operations. The role contributes to organizational digital transformation by analyzing data and helping bridge business needs through scalable AI solutions. Work may support healthcare use cases such as claims processing, member engagement, care analytics, virtual assistants, and intelligent automation. The engineer will build machine learning pipelines and Generative AI/LLM applications using Python and Google Cloud services, including Vertex AI and BigQuery ML, and develop conversational AI bots using Kore.AI. The role also covers dataset preparation and evaluation, automated testing, model validation and monitoring, troubleshooting, and optimization. The engineer will collaborate with data engineering, product, QA, and business teams to productionize AI solutions. This is an onshore healthcare technology opportunity in the United States.
Requirements
- Experience in artificial intelligence and machine learning (AI/ML).
- Python programming skills.
- Google Cloud Platform (GCP) knowledge.
- Experience with Vertex AI and BigQuery ML.
- Knowledge of Generative AI and large language models (LLMs).
- Natural Language Processing (NLP) knowledge.
- Experience with the Kore.AI conversational AI platform.
- Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with data preparation, curation, labeling, and evaluation.
- SDET and test automation experience for AI-enabled applications.
- Understanding of healthcare data and business processes.
- Knowledge of HIPAA compliance requirements and secure handling of Protected Health Information (PHI).
- Relevant hands-on experience in one or more of the stated AI/ML and Generative AI technology areas.
Nice To Haves
- Experience developing and deploying enterprise AI/ML solutions.
- Experience with healthcare applications, claims processing, or member engagement platforms.
- 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.
- Strong communication and collaboration skills with cross-functional teams.
Responsibilities
- Design, develop, train, and deploy machine learning models using Python and cloud-based AI platforms.
- Build and maintain ML pipelines using Google Cloud services, 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 Generative AI applications.
- Validate AI 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.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
