Machine Learning Engineer - AI (Remote)

Role responsibilities

The Machine Learning Engineer will design, train, and deploy machine learning models to address complex business challenges. They will also develop and maintain scalable ML pipelines and collaborate with cross-functional teams to integrate models into production systems.

Requirements

Candidates should have proficiency in Python and experience with machine learning frameworks like TensorFlow or PyTorch. Knowledge of cloud platforms for ML deployment and familiarity with MLOps practices are also required.

Key skills

Python, TensorFlow, PyTorch, Data Preprocessing, Feature Engineering, Model Evaluation, Cloud Platforms, AWS, GCP, Azure, MLOps, CI/CD, Problem-Solving, Machine Learning, Model Governance, Data Quality

Keywords

Machine Learning, AI, Model Deployment, Data Governance, Model Performance, Scalable Pipelines, Cross-Functional Collaboration, Cloud Computing, Data Quality, Software Development, Information Technology, Engineering, Research, Contract Work, Remote Work, Operational Efficiency