Machine Learning Engineer

AI Solution Development

• Design and develop agentic systems, machine learning models, and AI algorithms.

• Lead the implementation of scalable AI products aligned with business and user needs.

• Deploy and operate AI/ML solutions in cloud environments (AWS preferred).

• Ensure reliability, performance, and maintainability of AI systems in production.

Data & Model Engineering

• Design and oversee scalable data pipelines across cloud and hybrid environments.

• Lead data preprocessing, ingestion, and transformation activities.

• Establish data quality controls and monitor data drift.

• Guide model training, evaluation, tuning, and performance optimization.

Integration & Deployment

• Integrate AI components into existing systems and workflows.

• Manage production deployments, monitoring, versioning, and maintenance.

Collaboration & Communication

• Collaborate with stakeholders to gather requirements and deliver effective AI solutions.

• Maintain clear technical documentation.

• Communicate complex AI concepts to both technical and non-technical audiences.

Research & Innovation

• Stay up to date with emerging AI technologies and best practices.

• Experiment with new approaches to improve existing and future solutions.