Senior AI/ML Scientist

Position:

Senior AI/ML Scientist Location:

St. Louis, MO (Hybrid)

Type:

Contract Experience:

8 10+ Years Job Summary We are seeking a highly skilled Senior AI/ML Scientist to design, build, and scale machine learning systems that drive personalization, customer intelligence, and data-driven decision-making. The ideal candidate will work at the intersection of traditional machine learning, advanced statistical modeling, and emerging Generative AI and Agentic AI technologies to deliver impactful business solutions. Key Responsibilities Design, develop, and deploy production-grade propensity models, recommendation engines, and predictive machine learning solutions. Lead applied research initiatives and perform rigorous statistical analysis to support model development and business strategy. Build, train, and operationalize machine learning models on Google Cloud Platform (Google Cloud Platform) using services such as Vertex AI, BigQuery ML, Dataflow, and Cloud Run. Develop and integrate Generative AI and Agentic AI capabilities into existing ML workflows and business applications. Collaborate with data engineering teams to design feature stores, model training pipelines, and monitoring frameworks. Translate complex business challenges into scalable machine learning solutions. Present findings and recommendations to both technical and non-technical stakeholders. Mentor junior data scientists and contribute to best practices across modeling, experimentation, and MLOps. Required Qualifications 8 10+ years of experience in Machine Learning, Data Science, or related fields. Advanced degree (Master's or PhD preferred) in Computer Science, Statistics, Machine Learning, Applied Mathematics, or a related quantitative discipline. Strong experience building and deploying machine learning models in production environments. Expertise in propensity modeling, recommendation systems, predictive analytics, and statistical analysis. Hands-on experience with Google Cloud Platform (Google Cloud Platform), including Vertex AI, BigQuery, Dataflow, and Cloud Run. Strong knowledge of Generative AI and Agentic AI concepts, including: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering Agent Frameworks Model Evaluation Techniques Advanced Python programming skills. Experience with machine learning frameworks such as: TensorFlow PyTorch Scikit-learn Pandas NumPy Required Skills Machine Learning AI/ML Model Development Recommendation Systems Propensity Modeling Statistical Analysis Generative AI Agentic AI LLMs RAG Prompt Engineering Python TensorFlow / PyTorch Google Cloud Platform (Google Cloud Platform) Vertex AI BigQuery MLOps