AI/ML Engineer Job in New York, United States
<html><body><p>We are looking for an experienced Data Scientist with strong expertise in AI/ML, Generative AI, LLMs, NLP, and MLOps. The ideal candidate will lead solution design, predictive analytics, and time-series modeling initiatives while driving innovation in deep learning and enterprise AI deployments.<br>Key Responsibilities<br>AI/ML & Generative AI Development</p><p>Design and implement advanced ML models, including LLMs and RAG-based NLP for enterprise applications.</p><p>Develop generative AI solutions for automation, personalization, and content generation.</p><p>Solution Design & Architecture:</p><p>Lead end-to-end AI solution design, ensuring scalability, security, and compliance.</p><p>Collaborate with stakeholders to align AI strategies with business objectives.</p><p>Predictive Analytics & Time Series Modeling:</p><p>Build predictive models for forecasting and anomaly detection using time-series data.</p><p>Apply statistical and deep learning techniques for trend analysis and optimization.</p><p>Deep Learning & NLP:</p><p>Implement advanced DL architectures for image, text, and multimodal data.</p><p>Develop NLP pipelines for text classification, entity recognition, and conversational AI.</p><p>MLOps & Deployment:</p><p>Establish robust MLOps frameworks for model lifecycle management, CI/CD, and monitoring.</p><p>Deploy AI models on cloud platforms (AWS, Azure) ensuring high availability and cost efficiency.</p><p>Leadership & Team Management:</p><p>Lead cross-functional teams, mentor junior data scientists, and drive best practices in AI development.</p><p>Strong proficiency in Python, R, SQL, and ML/DL frameworks (TensorFlow, PyTorch).</p><p>Hands-on experience with LLMs, Generative AI, NLP, and MLOps tools.</p><p>Expertise in time-series modeling, predictive analytics, and deep learning architectures.</p><p>Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).</p><p>Excellent communication and leadership skills.</p><p>Master or Ph.D. in Computer Science, Data Science, AI/ML, or related field.<br>Preferred Qualifications<br>Experience with AI governance and model validation frameworks.</p><p>Certifications in AWS/Azure AI services.</p></body></html>