Job Title :
Data Analyst – Predictive Modeling and Machine Learning Expert
About the Role
We are seeking a highly skilled Data Analyst to join our team as a Predictive Modeling and Machine Learning Expert. This role focuses on building and deploying advanced predictive models in a remote capacity, influencing business decisions with data-driven insights.
The ideal candidate has strong experience in machine learning, data engineering, and cloud environments, particularly with AWS. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge ML models using SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue.
This is an opportunity to work on impactful AI / ML solutions within a dynamic team environment.
Main Responsibilities
- Predictive Modeling & Machine Learning : Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
- Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.
- Perform model validation, tuning, and performance monitoring.
- Deliver actionable insights from complex datasets to support strategic decision-making.
Data Engineering & Cloud Computing
Design scalable and secure ETL pipelines using AWS Glue.Manage and optimize data infrastructure in the AWS environment.Ensure high data integrity and availability across the pipeline.Integrate AWS services to support the end-to-end machine learning lifecycle.Python Programming
Write efficient, reusable Python code for data processing and model development.Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.Maintain documentation and ensure best coding practices.Collaboration & Communication
Work with engineering, analytics, and business teams to understand and solve business challenges.Present complex models and insights to both technical and non-technical stakeholders.Participate in sprint planning, stand-ups, and reviews in an Agile setup.