Intermediate Machine Learning Engineer

Job Description

The Intermediate Machine Learning Engineer is responsible for developing, optimizing, and deploying machine learning solutions that support data-driven decision-making and business objectives. The role requires strong technical expertise in model development, pipeline management, and integration within production environments.

Key Responsibilities :

• The role encompasses many activities, including (but not limited to) :
• Building and maintaining end-to-end machine learning pipelines for model development, training, testing, and deployment.
• Training and fine-tuning ML models using structured and unstructured datasets.
• Collaborating with Senior Engineers and Data Scientists to implement ML models into production environments.
• Conducting model evaluation and validation to ensure accuracy, scalability, and alignment with business goals.
• Troubleshooting and resolving issues related to model performance, accuracy, and deployment.
• Documenting workflows, maintaining version control, and ensuring reproducibility of ML experiments.
• Supporting the integration of ML models with existing software systems and data infrastructures.
• Keeping up-to-date with emerging tools, frameworks, and trends in machine learning and AI.

Requirements

Requirements

Machine Learning, Cloud, Python, ML Frameworks, API Integration, ML Development