How you will create impact

As aData Scientist at AIG, you will serve a critical role in the architecture, development, and delivery of impactful enterprise-level Generative AI solutions. We are seeking a highly technical individual contributor with extensive hands-on experience, as we are an applied data science team operating in an agile and production-oriented environment. You will be focused on Large Language Models (LLMs) and Machine Learning (ML), acting as a primary technical driver for our most complex projects.

Your Responsibilities

• End-to-End Development: Lead the development and successful delivery of data science and generative AI solutions in accordance with business requirements.

• Production Oversight: Monitor solutions in production to ensure performance, reliability, and accuracy.

• Technical Collaboration: Partner with cross-functional teams including product managers, engineers, and business leaders to translate requirements into technical reality.

• Evaluation & Quality: Build robust evaluation frameworks to measure LLM efficacy, manage ground truth dataset quality, and guide the product development roadmap.

• Architecture: Design scalable ML pipelines and RAG frameworks that integrate seamlessly with enterprise data structures.

What is Needed to be Successful

• 5+ years of experience in a data science role, with a strong emphasis on NLP and ML, working in an agile production-oriented environment.

• Proven Delivery: Experience successfully delivering multiple GenAI, analytical, or ML projects from conception through to production.

• Python Expertise:Strong, expert-level proficiency in Python and its data science ecosystem (e.g., PyTorch, Pandas, Scikit-learn).

• LLM Mastery: 5+ years of practical experience with open-source Large Language Models (Llama 3, Mixtral, etc.), including prompt engineering, inference optimization, and fine-tuning.

• GenAI Solutions: 3+ years of experience building Generative AI Solutions, including designing and building RAG frameworks, validation pipelines, observability, and monitoring solutions.

• Education: Master’s degree in data science, Computer Science, or a related quantitative field.

Added Bonus / Preferred Qualifications

• Palantir Platform Experience: Hands-on experience or certification in the Palantir platform (Foundry/AIP).

• Ontology Mastery: A strong understanding of Ontology—specifically how to map complex real-world data entities and relationships into a digital twin framework to power AI applications.

Required Competencies

• Ability to thrive in a fast-paced, high-stakes environment.

• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

• A "hands-on" mindset with the desire to be a primary technical lead through code quality and architectural excellence.

Ready to set new industry standards? We would love to hear from you.

Veterans are encouraged to apply.

#LI-RG2 #LI-AIG #AI #GenAI #artificialintelligence #DataScience #BigData

At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.

Enjoy benefits that take care of what matters

At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development—to bring peace of mind to you and your family.

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