$3,450.00 Fixed
Business Overview:
We are a social media platform. We have a backlog of valuable data but lack the infrastructure and expertise to use it for predictive modeling.
The Challenge:
We have a wealth of data but no infrastructure to train and deploy machine learning models. We need to develop a model that can predict user engagement based on their behavior and content consumption. The challenge is not just building the model but deploying it reliably and scalably in a production environment.
Problems Caused:
The inability to leverage our data for predictive modeling is a significant missed opportunity. We cannot personalize the user experience, predict churn, or recommend relevant content, which hinders our growth and competitiveness.
Proposed Method:
We need a senior Machine Learning Engineer to own this project from end-to-end. The freelancer will be responsible for:
- Data Preprocessing: Cleaning and preparing the data.
- Model Development: Building, training, and evaluating a robust ML model.
- Deployment: Using MLOps best practices to deploy the model as a microservice or an API.
- Monitoring: Implementing monitoring to track the model's performance and data drift in production.
Required Experience:
At least 6-8 years of experience in Machine Learning Engineering or a related field. The freelancer must have a proven track record of deploying ML models in a live production environment.
Required Expertise:
- Expertise in Python and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, GCP, or Azure) for ML.
- Strong knowledge of MLOps principles and tools (e.g., Kubeflow, SageMaker, MLflow).
- Ability to work with large datasets and distributed systems.
Sample Work Required:
Please provide a case study or documentation for a previous MLOps project you executed, detailing the model, the deployment pipeline, and the performance metrics in production.
Freelancer Proposal:
The freelancer should submit a detailed technical proposal outlining their approach to model development and a robust MLOps plan for deployment and monitoring. The proposal must also include a risk assessment.
- United Kingdom
- Proposal: 0
- Verified
- Less than a week
