[Remote] Senior/ Lead - ML Engineer - Applied AI

Note: The job is a remote job and is open to candidates in USA. FICO is a leading analytics and decision management company that empowers businesses and individuals around the world with data-driven insights. As a Senior or Lead Machine Learning Engineer on the Applied AI team, you will design and implement AI-driven solutions for fraud detection and decision automation, ensuring robust performance and compliance in real-world applications.

Responsibilities
• Develop and implement LLM-powered solutions for decision automation, fraud investigation, and workflow optimization within FICO's platform
• Engineer sophisticated prompting strategies and Retrieval-Augmented Generation (RAG) architectures tailored for enterprise-grade, high-stakes AI applications
• Apply fine-tuning techniques, in-context learning, and custom evaluation frameworks to continuously optimize model performance
• Design, test, and deploy new AI models, architectures, and training methodologies to keep FICO at the forefront of applied AI innovation
• Develop comprehensive backtesting methodologies to validate model reliability, robustness, and predictive performance
• Monitor deployed models in production, proactively detecting and responding to drift to maintain accuracy, fairness, and compliance over time
• Research and integrate emerging AI techniques to drive continuous advancements in machine learning, reasoning, and decision automation
• Write high-quality, production-ready code that ensures scalability, security, and operational integrity of deployed AI systems
• Mentor and guide junior and mid-level engineers, promoting engineering best practices and fostering a culture of technical excellence

Skills
• 5+ years of hands-on experience in machine learning engineering, with a strong track record delivering large-scale AI/ML systems from research to production
• Deep expertise in ML algorithms, deep learning architectures, and the underlying mathematical foundations — particularly linear algebra, probability, and statistics
• Proven proficiency in working with large-scale datasets and building efficient, reliable AI data pipelines
• Hands-on experience packaging and deploying ML models as APIs for seamless integration into production environments
• Familiarity with MLOps tooling and platforms such as MLflow, Azure ML, or Vertex AI, with an understanding of model lifecycle management
• Experience with cloud-native AI architectures, including distributed model training and scalable deployment patterns on AWS, GCP, or Azure
• Strong background in LLM architectures, prompt engineering, fine-tuning, model adaptation, and RAG techniques
• Robust understanding of AI evaluation methodologies, testing frameworks, and A/B testing for AI-driven applications
• Proficiency with PyTorch, JAX, or TensorFlow
• Knowledge of vector databases (e.g., Pinecone, Weaviate, pgvector) and AI model monitoring practices including drift detection and governance
• Strong software engineering fundamentals, with demonstrated ability to write clean, maintainable, and production-quality AI code
• Experience mentoring engineering teams and driving AI adoption across cross-functional groups
• Bachelor's, Master's, or PhD in Computer Science, a related field, or equivalent practical experience, with a focus on machine learning
• Publications, patents, or open-source contributions in AI/ML are a plus

Company Overview
• Fair Isaac Corporation enables businesses to automate, improve, and connect decisions to enhance business performance. It is a sub-organization of FICO. It was founded in 1956, and is headquartered in Bozeman, Montana, USA, with a workforce of 1001-5000 employees. Its website is http://www.fico.com.

Company H1B Sponsorship
• FICO has a track record of offering H1B sponsorships, with 1 in 2026, 30 in 2025, 18 in 2024, 22 in 2023, 25 in 2022, 45 in 2021, 40 in 2020. Please note that this does not guarantee sponsorship for this specific role.