Job Description
We are looking for a Senior Lead AI/ML Engineer to join our team. The ideal candidate will have extensive hands-on experience in univariate and multivariate time series forecasting models, deployment experience, and proficiency in Python and ML libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow.
• Key Responsibilities:
• Partner with product and business teams to define problems and translate them into data-driven solutions.
• Conduct exploratory data analysis (EDA) and extract actionable insights from structured and unstructured datasets.
• Develop, validate, and iterate on predictive models using techniques in supervised, unsupervised, and/or time series learning.
• Communicate modeling outcomes through clear visualizations and presentations to both technical and non-technical stakeholders.
• Build and maintain robust pipelines for model training, evaluation, and inference.
• Deploy machine learning models into production with attention to scalability, performance, and observability.
• Monitor model drift and performance over time and develop retraining and versioning strategies.
• Collaborate with software and data engineering teams to integrate ML solutions into end-user applications and internal systems.
