onsite
AI/ML Engineer - NeuraMach.AI
ML Engineer
AI/ML Engineer building scalable, production‑ready machine learning solutions for adaptive learning platforms, leveraging Python, deep learning frameworks, and cloud infrastructure to deliver personalized educational experiences.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines for adaptive learning features.
- Implement deep learning models using TensorFlow or PyTorch, optimizing for performance and scalability.
- Collaborate with data scientists and product teams to translate research into production‑ready solutions.
- Maintain data ingestion, feature engineering, and model monitoring workflows on AWS.
- Participate in code reviews, documentation, and continuous improvement of ML infrastructure.
Requirements
- Minimum 2 years of hands‑on experience in AI/ML development.
- Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Experience with data engineering, feature pipelines, and cloud services (AWS).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Passion for education technology and a desire to impact learning outcomes at scale.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws