Description

You will design, develop, and deploy end-to-end predictive analytics and machine learning solutions using structured enterprise datasets.

This role is on-site.

Responsibilities

• Build advanced forecasting models to estimate operational workloads and identify drivers of engineering complexity.
• Apply regression, classification, clustering, ensemble methods, deep learning, and time-series forecasting techniques.
• Conduct Exploratory Data Analysis (EDA) and statistical modeling to uncover patterns in high-dimensional datasets.
• Develop and optimize scalable ML pipelines for data ingestion, feature engineering, model training, inference, and continuous monitoring.
• Implement MLOps best practices to ensure model reproducibility, version control, and performance monitoring in production.

Required Skills

• 7+ years of experience in data science, machine learning, or AI/ML engineering.
• Proficiency in Python with frameworks such as FastAPI, Flask, or Django.
• Strong SQL skills, specifically writing and optimizing complex queries in Google BigQuery.
• Experience deploying and managing AI/ML applications on Google Cloud Platform (GCP), utilizing Vertex AI.
• Proven track record of building scalable APIs and backend services.
• Ability to translate complex business requirements into technical specifications and present insights to stakeholders.
• Experience with cloud-native services and DevOps practices.

Key Skills

Education

Any Gradute