Seeking an AI/ML Engineer to design, develop, and deploy machine learning models for healthcare data analysis, predictive modeling, and NLP applications. Collaborate with cross-functional teams to translate business needs into AI solutions, preprocess large datasets, and utilize cloud-based AI services.
AI Model Development: Design, build, and deploy AI/ML models for healthcare data analysis, predictive modelling, natural language processing (NLP), and other relevant applications.
Design, develop, and implement machine learning models and algorithms for solving complex business problems for our different product platforms spanning diverse verticals.
Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.
Explore and pre-process large datasets to ensure data quality and relevance for model training.
Hands-on experience with AWS or Azure-based tools for data storage, processing, and cloud-based AI services.
Familiarity with popular AI frameworks like TensorFlow, PyTorch, Keras or Scikit-learn for model development.
Education: Bachelor's or Master's degree in Engineering Science, Data Science, or related field.
Experience: 3-4 years of relevant experience in AI/ML techniques, model building, and data science.
AI/ML Model Development, Predictive Modeling, Natural Language Processing (NLP), Data Preprocessing, TensorFlow, PyTorch, Keras, Scikit-learn, AWS, Azure, Data Science, Cloud AI Services, Cross-Functional Collaboration, Data Analysis.