We are looking for an experienced Machine Learning Engineer with 4-7 years of expertise in cloud platforms and data pipeline development to join our team in Bengaluru. This role will be responsible for designing, deploying, and managing machine learning models on cloud infrastructure, with a preference for Google Cloud Platform (GCP). The ideal candidate will have strong skills in PySpark , API development , and statistical modeling . As a Machine Learning Engineer, you will oversee end-to-end ML pipeline management, model training, and API integration, transforming data insights into actionable solutions.
Experience Level
4-7 Years
Key Skills
Must-Have Skills : Cloud Platforms (GCP preferred), Data Pipelines, PySpark, Model Training, API Development, Statistical Modeling, Machine Learning
Key Responsibilities
Data Pipeline Development : Design, build, and optimize data pipelines using PySpark for efficient data processing and transformation.
Machine Learning Model Deployment : Develop, test, and deploy machine learning models on cloud platforms (preferably GCP) to enable predictive analytics and drive business insights.
Statistical Modeling : Apply statistical modeling techniques to improve predictive accuracy and address various business requirements.
API Development : Write APIs to integrate machine learning solutions seamlessly with existing applications, ensuring smooth data flow and accessibility.
Cloud Infrastructure Management : Maintain and enhance cloud-based infrastructure, monitor model performance, and troubleshoot as needed.
Cross-Functional Collaboration : Work closely with cross-functional teams to translate business needs into scalable machine learning solutions.