AI/ML Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
Experience Level: Experienced (3 to 5 years)
Education: Bachelor's degree in Technology, Business, or related fieldAbout UsNationsBenefits is recognized as one of the fastest-growing companies in America and a leading Healthcare Fintech provider. We specialize in supplemental benefits, flex cards, and member engagement solutions. Partnering with managed care organizations, we offer innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and deliver value to members.Through our comprehensive suite of supplemental benefits, fintech payment platforms, and member engagement solutions, we enable health plans to provide high-quality benefits that address social determinants of health, ultimately improving member health outcomes and satisfaction.Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model empower our health plan partners to offer value-based care to millions of members.We offer a dynamic and fulfilling work environment that attracts top talent, where associates are encouraged to contribute to delivering premier service to both internal and external customers. Our goal is to transform the healthcare industry for the better! We provide opportunities for career advancement across multiple locations in the US, South America, and India.Job DescriptionWe are seeking a highly skilled and motivated Machine Learning Engineer with expertise in Retriever-Augmented Generation (RAG), BERT (Bidirectional Encoder Representations from Transformers), and Pinecone to join our innovative AI/ML team.Responsibilities:
- Work on cutting-edge ML models and AI-driven applications: Focus on improving retrieval-augmented generation (RAG) systems and developing scalable solutions.
- Design and fine-tune BERT-based models: Implement models for a range of tasks including sentiment analysis, named entity recognition (NER), and question answering.
- Utilize Pinecone for scalable vector search solutions: Enhance the performance of search and retrieval systems by implementing fast, scalable, and high-performing vector search techniques.
- Manage large datasets: Apply best practices in machine learning to ensure robust model training, validation, and deployment pipelines.
- Collaborate with cross-functional teams: Work closely with Data Scientists, Product Managers, and Backend Engineers to deploy AI solutions into production.
- Conduct research and experimentation: Improve existing algorithms and model performance in retrieval-augmented generation.
- Optimize model performance: Ensure the efficiency, accuracy, and scalability of solutions in production environments.