Senior/Lead

The Opportunity

"As a Senior/Lead Machine Learning Engineer on our Applied AI team, you will operate at the frontier of AI-driven innovation. You will design, fine-tune, and implement state-of-the-art language model applications and machine learning models, integrating AI-powered solutions into FICO’s platform for fraud detection, decision automation, and process optimization. This role requires a blend of technical leadership, hands-on engineering expertise, and a passion for deploying AI and ML models at scale. You will be instrumental in building, scaling, and governing AI systems, ensuring robust performance and compliance in high-stakes applications." - VP, AI Engineering

What You’ll Contribute

• 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 AI applications.

• Apply fine-tuning techniques, in-context learning, and custom evaluation frameworks to optimize model performance.

• Design, test, and deploy new AI models, architectures, and training methodologies to keep FICO at the forefront of AI innovation.

• Develop comprehensive backtesting methodologies to validate model reliability and predictive performance.

• Monitor model performance and proactively detect drift to maintain accuracy and compliance over time.

• Research and integrate cutting-edge AI techniques to drive continuous advancements in machine learning and decision automation.

• Write high-quality, production-ready code, ensuring scalability, security, and operational integrity of deployed AI systems.

What We’re Seeking

• In-depth experiencein machine learning, with a strong track record in large-scale AI/ML projects.

• Expertise in ML algorithms, deep learning, and mathematical foundations (linear algebra, probability).

• Proficiency in handling large datasets and building efficient AI pipelines.

• Hands-on experience deploying ML models as APIs for seamless integration.

• Familiarity with MLOps tools like MLflow, Azure ML, or Vertex AI.

• Experience with cloud-native AI architectures, including model training and deployment.

• Strong background in fine-tuning, model adaptation, and LLM customization.

• Robust understanding of AI evaluation methodologies and testing frameworks.

• Proficiency in deep learning frameworks like PyTorch, JAX, or TensorFlow.

• Experience with A/B testing frameworks for AI-driven applications.

• Expertise in LLM architectures, prompt engineering, and RAG techniques.

• Knowledge of vector databases and AI model monitoring (drift detection, governance).

• Strong software engineering skills, with experience writing production-quality AI code.

• Leadership experience, including mentoring teams and driving AI adoption.

• Publications, patents, or open-source contributions in AI/ML are a plus.

• Bachelor's/Master's/PhD degree in computer science, or a related field with focus in Machine Learning.

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