Principal Architect - Applied Science/ML

Job Description

Principal Architect - Applied Science/ML

Experience Required: 12-20 years in Machine Learning, NLP, and RAG Engines

Additionally, we enhance customer interactions with NLP-powered Chatbots and RAG (Retrieval-Augmented Generation) Engines for superior consumer experiences.

Key Responsibilities:

• Lead AI/ML architecture and drive innovation across Computer Vision, Recommendation Systems, Propensity Models, and RAG Engines.
• Spearhead the development of a next-gen AI Bot platform, handling Email, Text, and Voice communications, to automate end-to-end processes.
• Collaborate with cross-functional teams to ensure AI solutions align with business objectives and deliver measurable impact.
• Stay ahead of emerging technologies and integrate them to maintain our leadership in AI-driven automation.

Required Qualifications:

• Bachelors, Masters, or PhD in Data Science, Mathematics, Operations Research, or a related field.
• Strong background in probability, statistics, applied mathematics, or computational science.
• Proven track record of solving complex problems using a scientific approach with measurable business impact.
• 12+ years of hands-on experience in Data Science, Machine Learning, and Big Data in a business context.
• Proficiency in programming languages like Python.
• Experience with ML algorithms, frameworks, and data visualization tools to turn analysis into actionable insights.

Preferred Qualifications:

• Expertise in Recommendation Engines and Natural Language Processing (NLP).
• Domain knowledge in the automotive industry.
• Strong problem-solving skills, a self-starter attitude, and the ability to proactively seek clarification when needed.
• Excellent interpersonal, verbal, and presentation skills, with the ability to communicate complex findings in a simple, executive-friendly manner.
• Ability to work collaboratively across multiple product and application teams.
• Eagerness to learn, share, and continuously improve.