About the position
Responsibilities • Develop and enhance decision models using probabilistic, machine learning, and generative AI techniques. • Lead large-scale, high-value projects that push the boundaries of statistical and AI capabilities, leveraging platforms like Databricks for model development, distributed data processing, and deployment pipelines. • Partner with business experts to understand challenges and pilot proof-of-concept models using diverse data types. • Clearly communicate model outputs and rationale to build trust and foster adoption of AI/GenAI solutions. • Recommend scalable solutions for big data and GenAI infrastructure, applying MLOps practices such as CI/CD for ML, model versioning, monitoring, and governance. • Drive adoption of AI tools and models through training and support. • Mentor junior team members and promote a culture of innovation and responsible AI use across the organization.
Requirements • Master's degree in Data Science, AI, Computer Science, Statistics, Mathematics, or a related field—or equivalent professional experience or certification. • Demonstrated success applying data science and AI/GenAI solutions in consumer-centric or relevant industries. • Proficient in Python, R, or similar languages, with hands-on experience using machine learning frameworks and GenAI libraries such as Hugging Face, LangChain, LangGraph, PyTorch, or TensorFlow. • Skilled in data analysis, algorithm development, machine learning, and generative AI—including large language models, diffusion models, and multimodal AI. • Proven ability to design, build, and operationalize AI/GenAI applications like chatbots, recommendation systems, automated content generation, and decision-support tools. • Strong understanding of the AI/ML model lifecycle (training, fine-tuning, deployment, monitoring, governance) with a focus on responsible AI and ethical considerations. • Capable of translating complex technical concepts into clear insights for technical and non-technical audiences, fostering trust and adoption across stakeholder groups.
Benefits • Medical, dental, vision, life, accidental death & dismemberment insurance. • Employee assistance program. • Short-term disability coverage. • Long-term disability insurance. • Voluntary income protection benefits such as supplemental life and accident insurance. • 401(k) plan with company contributions.