at Capgemini
ConsultanciesPosted 4 days ago
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**Lead Machine Learning Engineer**: Drive Machine Learning (ML) initiatives, translate complex ML techniques into production-ready systems. Key Responsibilities: Develop, deploy, and maintain ML models; Collaborate with data scientists and engineers; Ensure ML operational excellence. Requirements: Proven 7+ years' experience in ML Engineering; Strong proficiency in Python, ML frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (e.g., AWS, GCP); Knowledge of ML Ops tools (e.g., MLflow, KubeFlow); Leadership experience; Degree in Computer Science, Statistics, or a related field.
- Compensation
- Not specified
- City
- Not specified
- Country
- United Arab Emirates
Currency: Not specified
Full Job Description
The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.
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Plays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.
