AI / ML Lead Engineer

About the Company (Only USC and GC)

We’re seeking a AI / ML Lead Engineer to lead the design and implementation of scalable, intelligent systems that solve sophisticated business problems. This role is pivotal in transforming data into actionable insights using advanced machine learning, generative AI, and conversational technologies.

About the Role

This role is pivotal in transforming data into actionable insights using advanced machine learning, generative AI, and conversational technologies.

Responsibilities

• Business Analytics & Intelligence : Analyze large datasets to uncover trends, patterns, and insights using statistical and machine learning techniques.
• Model Engineering : Design, train, and deploy ML models, classifiers, and algorithms for predictive analytics, anomaly detection, and optimization.
• Generative & Agentic AI : Build and operationalize generative AI and agentic frameworks using RAG pipelines, vector databases, and prompt chaining.
• Conversational AI Development : Architect and fine-tune intelligent virtual assistants and multi-turn dialogue systems using LLMs, transformers, and knowledge graphs.
• Knowledge Graph Integration : Leverage semantic modeling and graph databases to enhance contextual understanding and retrieval in AI systems.
• Enterprise Fine-Tuning : Apply domain-specific fine-tuning techniques (DPO, ORPO, SPIN) to align LLMs with enterprise knowledge and workflows.
• AI Infrastructure : Develop robust ML pipelines using AI / ML Ops tools.
• Risk Mitigation : Identify and address risks in AI / ML systems including bias, drift, and adversarial vulnerabilities. Implement safeguards and monitoring strategies.
• Multi-functional Collaboration : Work with data scientists, engineers, and business collaborators to align AI solutions with strategic goals.
• Collaborator Involvement : Present captivating demonstrations and recommendations to business collaborators, translating technical insights into strategic suggestions.
• Research & Innovation : Stay ahead of the curve by exploring emerging trends in AI safety, interpretability, and bias mitigation.

Qualifications

Required Skills

Preferred Skills

Pay range and compensation package

Compensation details will be discussed during the interview process.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices and encourage applications from all qualified individuals.