Description

You will design and implement machine learning algorithms for Pricing and Generative AI projects, owning the full lifecycle from research to production deployment.

This role is on-site.

Responsibilities

• Design and implement advanced ML algorithms using PyTorch and TensorFlow.
• Develop and deploy models using Python, building APIs for real-time and batch predictions.
• Leverage AWS, Docker, and cloud technologies to deliver model predictions.
• Monitor and optimize performance, accuracy, and reliability using logging, metrics, and dashboards.
• Research new ML techniques and fine-tune models for scalability and adaptability.

Required Skills

• 7+ years of industry experience in software engineering or ML.
• Proficiency in Python and machine learning algorithms, including supervised/unsupervised learning, deep learning, NLP, and computer vision.
• Experience deploying and monitoring ML models in production using AWS SageMaker.
• Hands-on experience building APIs for model serving with Flask, FastAPI, or Django.
• Strong understanding of software engineering best practices, including version control, CI/CD, and code reviews.
• Experience writing unit tests and documentation for ML code.
• Proficiency with TensorFlow, PyTorch, Keras, and Scikit-learn.
• Experience with containerization using Docker.

Preferred Skills

• Familiarity with ML lifecycle management tools such as MLflow, Kubeflow, or Airflow.
• Hands-on experience with large language models (LLMs) and prompt engineering.

Key Skills

Education

Bachelor's Degree