Charter Global - Senior AI / ML Engineer - AWS SageMaker

Description : Job Summary :

We are looking for a results-driven Senior AI / ML Engineer to lead the development and deployment of scalable machine learning models and intelligent systems.

You will be at the forefront of building AI solutions that solve high-value business problems, with full ownership from data preparation to model monitoring.

This is a key role in a hands-on, production-grade AI / ML team, working with state-of-the-art tooling and infrastructure.

Key Responsibilities :

• Design and implement robust, end-to-end ML models and AI pipelines to solve real-world business challenges.
• Build and maintain scalable data pipelines for structured and unstructured datasets including data extraction, cleansing, feature engineering, and labeling.
• Train and tune ML models using modern frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Deploy models to production using MLOps tools like MLflow, Kubeflow, or Amazon SageMaker.
• Collaborate with Product, Engineering, and Data Science teams to embed ML into customer-facing solutions.
• Monitor and optimise models for performance, reliability, and drift detection in live environments.
• Conduct R&D on cutting-edge techniques in LLMs, NLP, and computer vision, and apply them to production use cases.
• Build internal dashboards, logs, and traceability features to ensure robust model governance.
• Write clean, reusable code and maintain thorough documentation of solutions and processes.

Required Skills & Qualifications :

Preferred Qualifications :

(ref : hirist.tech)