AI/ML Engineer

FICO; Bengaluru; On-site; INR 3,200,000 - 6,000,000; Full time

Benefits offered by this job

Inclusive culture

Competitive pay

Learning opportunities

Job summary

FICO in Bengaluru seeks a Machine Learning Engineer to join its Generative AI team, building LLM-based solutions for fraud investigation, decision automation and workflow optimization.

You will design prompts, implement RAG architectures, fine-tune models, and deliver production-grade AI software, collaborating with cross-functional teams to advance enterprise AI capabilities.

Qualifications

• 7+ years of experience in ML/AI.
• Proven track record in large-scale AI projects.
• Strong mathematical foundations: linear algebra, probability.

Responsibilities

• Develop LLM-powered solutions for enterprise AI applications.
• Engineer prompting strategies and RAG architectures.
• Apply fine-tuning, in-context learning, and evaluation frameworks.
• Design, test, and deploy new AI models and training methods.
• Monitor performance and drift; ensure compliance over time.

Skills

Large-scale ML

LLM deployment

Python

ML pipelines

Prompt engineering

RAG architectures

Model evaluation

Cloud deployment

Education

Bachelor's/Master's/PhD in CS or ML

Tools

MLflow

Azure ML

Vertex AI

PyTorch

TensorFlow

JAX

Job description

As a Machine Learning Engineer that will be part of our Generative AI team, you will work at the frontier of language model applications, developing novel solutions for various areas of the FICO platform to include fraud investigation, decision automation, process flow automation, and optimization. You will play a critical role in using traditional ML and generative AI to enhance FICO’s product portfolio with intelligence. You will have the opportunity to make a meaningful impact on FICO’s platform by infusing it with next-generation AI capabilities. You’ll work with a dedicated team, leveraging your skills in the machine learning area to build solutions and drive innovation forward.

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 back testing 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 experience in machine learning, with a strong track record in large-scale AI/ML projects.
• 7+ years of overall experience.
• 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.
• 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.

Our Offer to You

• 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.