AI/ML Engineer (Node.js/Python)

Key Responsibilities:

• Design, develop, and deploy advanced machine learning models and algorithms for production.
• Build and maintain robust data pipelines using Python and Node.js.
• Utilize frameworks such as TensorFlow, PyTorch, or scikit-learn for model development, training, and evaluation.
• Integrate model outputs and data services with Node.js-based application backends.
• Deploy AI solutions on cloud platforms (GCP, AWS) and collaborate on MLOps strategies.
• Document model architectures, maintain high-quality code, monitor system performance, and troubleshoot production issues.
• Collaborate with product, engineering, and business stakeholders to translate requirements into implementable solutions.

Preferred Database Experience:

• Supabase (managed Postgres solution for scalable apps)
• PostgreSQL (relational database management)

Qualifications

• Minimum 5 years’ practical experience in AI/ML development and deployment.
• Strong proficiency in Python and familiarity with Node.js for API/data integration.
• Hands-on experience with key ML frameworks and libraries.
• Demonstrated experience deploying models to cloud platforms and optimizing for scalability and efficiency.
• Collaboration and documentation skills; experience in deep learning, NLP, LLMs, or model fine-tuning preferred.