Design, develop, and deploy AI/ML models for financial forecasting and business analytics.
Build and optimize time series models (forecasting, trend analysis, anomaly detection) using large-scale datasets on Databricks.
Develop custom AI tools to summarize business problems, define solution approaches, and present insights in a structured manner.
Work on end-to-end AI solutions, from data ingestion and feature engineering to model deployment and monitoring.
Design and work within multi-agent AI environments, enabling agents to collaborate for complex problem-solving.
Collaborate with business, data, and engineering teams to translate requirements into scalable AI solutions.
Ensure models meet performance, scalability, and governance standards.
Document solutions, assumptions, and outcomes for both technical and non-technical stakeholders.
Lead delivery of large-scale projects by breaking down work into well-defined tasks, allocating them efficiently across team members, and ensuring timely, high-quality execution (acting as a delivery foreman for the team).
Oversee, mentor, and coach junior team members, providing technical guidance, reviewing deliverables, and ensuring skill development while maintaining overall team productivity and standards.
Required Skills & Experience
Strong expertise in AI/ML concepts, including supervised and unsupervised learning.
Hands-on experience in financial forecasting and time series analysis.
Proven experience with Databricks, MLflow, and data processing.
Experience building custom AI tools or frameworks tailored to specific business problems.
Ability to summarize complex problems and solutions clearly and concisely.
Exposure to or hands-on experience in multi-agent AI architectures.
Proficiency in Python, ML libraries (scikit-learn, statsmodels, PyTorch/TensorFlow).
Strong communication and stakeholder management skills.
Good to Have
Experience with LLMs, prompt engineering, or agent-based frameworks.
Knowledge of cloud platforms (AWS, Azure, or GCP).
Experience in MLOps, model monitoring, and governance.
