Design, develop, and deploy end-to-end predictive analytics and machine learning solutions using structured enterprise datasets.
Build advanced forecasting models to estimate operational workloads and identify drivers of engineering complexity.
Apply a wide range of ML techniques, including regression, classification, clustering, ensemble methods, deep learning, and time-series forecasting.
Conduct Exploratory Data Analysis (EDA) and statistical modeling to uncover patterns, trends, and anomalies in high-dimensional datasets.
Develop and optimize scalable ML pipelines for data ingestion, feature engineering, model training, inference, and continuous monitoring.
Write and optimize complex SQL queries within Google BigQuery to manipulate large-scale enterprise data.
Deploy and manage AI/ML applications on Google Cloud Platform (GCP) utilizing Vertex AI and cloud-native services.
Build and maintain scalable APIs and backend services using Python frameworks such as FastAPI,



Flask, or Django.
Implement MLOps best practices to ensure model reproducibility, version control, and performance monitoring in production.
Collaborate with cross-functional teams (Engineering, Validation, Analytics) to translate complex business requirements into technical specifications.
Develop interactive dashboards and visualization layers to communicate forecasting insights and engineering trends to stakeholders.
Present technical insights and strategic recommendations to both technical audiences and executive leadership.

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📌 Senior Engineer Tamil Nadu
🏢 ALTIMETRIK
📍 Tamil Nadu