Design, Train, and Deploy a Machine Learning Model into ProductionFeatmate • London, England, United Kingdom
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Design, Train, and Deploy a Machine Learning Model into Production
Featmate
- London, England, United Kingdom
- London, England, United Kingdom
Über
Sep 28, 2025 - Senior $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. 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. Notice: You must have login as a freelancer to send a proposal.
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Sprachkenntnisse
- English
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