Neolytix - Artificial Intelligence/Machine Learning Engineer
1 month ago
Key Responsibilities :
- Design & implement machine learning algorithms to analyze and manage healthcare claims
- Collaborate with data scientists to preprocess & prepare data for training and evaluation
- Develop custom models & leverage pre-built models for specific claims management tasks
- Deploy, manage, and scale AI models in a production environment using cloud-based services
- Monitor model performance and iterate on solutions to improve accuracy and efficiency
- Ensure compliance with healthcare data security and privacy regulations
- Document technical solutions and create guidelines for future projects
Qualifications :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Over 3 years of experience in AI/ML engineering, with a focus on B2B SaaS applications
- Advanced proficiency in Python & BigQuery with expertise in libraries such as TensorFlow, PyTorch, Keras for deep learning and data processing
- Demonstrated expertise in Transfer Learning models, including hands-on experience with Hugging Face's Transformers library for fine-tuning models & GPT variants for complex NLP tasks
- Proven ability to deploy SLM models on cloud platforms such as AWS, GCP, or Azure
- Good understanding of healthcare systems & data formats with regulatory standards
- Adept at quickly adapting to new technologies, with strong analytical and problem-solving abilities, attention to detail, and excellent communication and collaboration skills
Preferred Skills :
- Experience with natural language processing (NLP) and text analytics
- Proficient in LLM & Transfer Learning models like Hugging Face
- Knowledge of healthcare claims processing and EHR/EMR systems
- Familiarity with DevOps practices and tools for CI/CD in ML projects
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