Company Description
StarTekk’s adoption of Digital Transformation is to accelerate organizational growth, increase efficiencies and help Star Workforce achieve focused business goals. The Employee will help our organization to identify and bridge the gap that exists in the business by analyzing the data, scale and support digital transformation initiatives.
Job Description
We are seeking experienced AI/ML and Generative AI Engineers to design, develop, deploy, and maintain enterprise AI solutions supporting healthcare operations. The ideal candidates will have expertise in machine learning, Google Cloud Platform (GCP), Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and conversational AI platforms such as Kore.AI.
Candidates will work on AI-powered healthcare solutions, including claims processing, member engagement, care analytics, virtual assistants, and intelligent automation.
Key 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 GenAI 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.
Qualifications
Artificial Intelligence and Machine Learning (AI/ML).
Python programming.
Google Cloud Platform (GCP).
Vertex AI and BigQuery ML.
Generative AI and Large Language Models (LLMs).
Natural Language Processing (NLP).
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.
Preferred Qualifications:
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.
Additional Information
Healthcare Domain Requirements:
Understanding of healthcare data and business processes.
Knowledge of HIPAA compliance requirements.
Experience handling Protected Health Information (PHI) securely.
Additional Information:
This is an onshore healthcare technology opportunity in the United States. Candidates should have relevant hands-on experience in one or more of the above AI/ML and Generative AI technology areas.
Summary
Design, develop, deploy, and maintain enterprise AI/ML and Generative AI solutions for healthcare operations, including claims processing, member engagement, and conversational assistants. Requires hands-on experience with Python, GCP (Vertex AI, BigQuery ML), LLMs, NLP, and Kore.AI. Must have experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn and AI test automation.
Responsibilities
Design, develop, train, and deploy ML models and Generative AI/LLM solutions; build ML pipelines on GCP; develop Kore.AI conversational bots; prepare datasets; evaluate outputs; automate testing and integrate into CI/CD; monitor and optimize AI solutions.
Qualifications
AI/ML and Python programming; GCP, Vertex AI, BigQuery ML; Generative AI, LLMs, NLP; Kore.AI; TensorFlow, PyTorch, or Scikit-learn; data preparation and evaluation; SDET/test automation for AI applications.