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.