Artificial Intelligence Engineer - Data Modeling

Key Responsibilities :

• AI / ML Model Development : Design, develop, and deploy machine learning or large language (LLM) models
• Strong Analytical Skills : Apply your analytical expertise to extract actionable insights from complex datasets and leverage AI to address real-world problems.
• Data Analysis and Preprocessing : Handle data collection, cleaning, preprocessing, and exploratory data analysis to ensure data readiness and quality for modeling.
• Model Evaluation and Validation : Assess model performance using relevant metrics and validate outcomes through comprehensive testing.
• Collaboration : Work collaboratively with cross-functional teams, including data engineers, software developers, and domain experts, to understand requirements and deliver impactful solutions.
• Healthcare Domain Knowledge (Optional) : While not mandatory, a background in healthcare, medical imaging, or related fields is a valuable Skills :
• Programming Skills : Proficiency in Python, with experience in AI / ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus.
• Model Expertise : Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models.
• Multimodal Proficiency : Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches.
• Algorithmic Understanding : Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning & Qualifications :
• Work Experience : At least 4+ years of proven experience as an AI researcher / engineer or in a

data science role

ref : hirist.tech)