Senior ML Engineer: End-to-End Production Model Delivery

Featmate Inc.; Remote; GBP 40,000; Part time

Job summary

A social media platform is looking for a senior Machine Learning Engineer to develop and deploy predictive models based on user engagement data. This role involves data preprocessing, model development, deployment using MLOps practices, and monitoring model performance. Ideal candidates should have 6-8 years of experience and proficiency in Python, machine learning libraries, and cloud platforms like AWS or Azure. Competitive compensation is offered for this freelance position.

Qualifications

• At least 6-8 years of experience in Machine Learning Engineering or a related field.
• Proven track record of deploying ML models in a live production environment.

Responsibilities

• Clean and prepare data for model training.
• Build, train, and evaluate a robust ML model.
• Deploy the model as a microservice or an API.
• Implement monitoring to track model performance and data drift in production.

Skills

Python

Machine learning libraries (Scikit-learn, TensorFlow, PyTorch)

Cloud platforms (AWS, GCP, Azure)

MLOps principles and tools (Kubeflow, SageMaker, MLflow)

Working with large datasets

Job description

A social media platform is looking for a senior Machine Learning Engineer to develop and deploy predictive models based on user engagement data. This role involves data preprocessing, model development, deployment using MLOps practices, and monitoring model performance. Ideal candidates should have 6-8 years of experience and proficiency in Python, machine learning libraries, and cloud platforms like AWS or Azure. Competitive compensation is offered for this freelance position.