Senior ML Engineer - Machine Learning - Applied AI

February 21

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FICO

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FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.

Predictive Analytics • Decision Management Tools and Applications • Scores • Consultancy • B2B Enterprise Software

1001 - 5000 employees

Founded 1956

💸 Finance

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• In-depth experience in 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.

🏖️ Benefits

• An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. • The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. • Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.