Description

You will develop, deploy, and maintain machine learning models and data platforms in production.

This role is remote.

Responsibilities

• Architect and maintain data platforms for experimentation, model serving, and feature engineering.
• Develop and deploy ML models, ensuring high-quality data through monitoring and validation frameworks.
• Integrate Large Language Models (LLMs) and generative AI approaches into business applications.
• Collaborate with data scientists and product managers to define and deliver data-driven features.
• Mentor junior engineers and contribute to code reviews and technical design discussions.

Required Skills

• 5+ years of experience in data engineering, machine learning engineering, or related roles.
• Strong proficiency in Python (Pandas, NumPy, PySpark).
• Solid understanding of ML model development, training, and deployment pipelines.
• Experience with ML model monitoring and observability frameworks.
• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Familiarity with CI/CD, version control (Git), and modern ML Ops practices.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

Preferred Skills

• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Proficiency with SQL and database systems (PostgreSQL, MySQL, or NoSQL alternatives).
• Contributions to open-source Data Science or Machine Learning libraries.

Key Skills

Education

Bachelor's degree