ML Engineer (offline)

We are seeking an experienced Part-Time Senior ML Engineer to lead the development and implementation of binary classification models in a production environment. The successful candidate will be responsible for setting up the pipeline for production and optimizing the training pipeline.

Responsibilities:

- Design and develop high-performance binary classification models

- Implement model training pipelines and deploy models to production

- Optimize model performance and improve accuracy on binary classification tasks

- Collaborate with cross-functional teams to understand business requirements

- Stay up-to-date with the latest advancements in machine learning and binary classification

Requirements:

- Proven experience in machine learning, specifically with binary classification models

- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch)

- Experience with deploying ML models to production environments

- Excellent problem-solving and analytical skills

- Ability to work independently and as part of a team

- Bachelor's or Master's degree in Computer Science, Statistics, or a related field

Preferred Qualifications:

- Experience with cloud computing platforms (e.g., AWS, GCP)

-Knowledge of data processing and feature engineering techniques

- Familiarity with agile development methodologies