Hiring: Applied Machine Learning Scientist II (AI/ML - Model Validation, GenAI & Agentic AI) Company: TD Location: New York, NY Job Posted Time: 2026-09-16 13:44:49 Target Skills & Keywords : AI, Azure, CI/CD, Databricks, Deep Learning, Git, Hugging Face, LLM, LangChain, MLOps, MLflow, Machine Learning, NLP, PySpark, PyTorch, Python, RAG, Risk Management, SQL, TensorFlow About the job Experience: •1+ years relevant experience (includes post graduate experience) Required Skills: •Responsible for providing technical knowledge and expertise on advanced analytics and machine learning across a broad range of analytics functions including data and modelling frameworks, tools, technology, processes and procedures. •This role generally provides expertise in stakeholder interactions related to complex advanced analytics related material. Additionally, this role plays a lead role in the development of AI/ML systems to solve a range of complex problems and is adept at translating business objectives into technical solutions. •The organization fosters a highly collaborative and innovative environment where scientists work closely with business leaders, engineers, MLOps, governance teams, and enterprise AI partners to transform emerging AI technologies into production-ready enterprise solutions. •We are seeking a highly experienced and technically strong Applied Machine Learning Scientist to lead the development of next-generation AI/ML solutions focused on model validation, operational intelligence, and decision optimization. •Lead the end-to-end development and deployment of advanced AI/ML solutions addressing strategic business challenges across model validation and operational domains. •Design and implement production-grade machine learning systems using advanced statistical modeling, deep learning, Generative AI, NLP, graph analytics, and Agentic AI frameworks. •Drive Innovation In Emerging AI Capabilities, Including LLM-powered applications •AI copilots and agentic workflows Qualifications: •Advanced degree (Master’s or PhD preferred) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or related quantitative discipline. •Extensive experience developing and deploying advanced AI/ML solutions in enterprise environments, along with solid model validation background. •Strong hands-on experience with machine learning, deep learning, NLP, LLMs, Generative AI, and modern AI application architectures. •Deep expertise in Python, PySpark, SQL, and modern ML/AI frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, Hugging Face, MLflow, or equivalent ecosystems. •Strong software engineering and productionization skills, including Git-based development workflows, CI/CD concepts, API integration, and scalable AI solution deployment. •In-depth knowledge of AI governance, explainability, model risk management, and responsible AI principles. •Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or Compensation: •$96,130 - $155,950 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!