at Capgemini
ConsultanciesPosted 4 days ago
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**Lead Machine Learning Engineer** who will drive and scale ML initiatives, combining senior-level expertise in ML algorithms, experience in ML Ops, and leadership to deploy models into production and drive business growth. Key responsibilities: manage ML projects, optimize data pipelines, deploy ML models at scale using AWS, Google Cloud, Azure, and collaborate with cross-functional teams. Required: Proven experience as an ML Engineer or similar role, proficiency in Python, ML libraries (TensorFlow, PyTorch), cloud platforms, and CI/CD tools (Git, Jenkins).
- Compensation
- Not specified
- City
- Abu Dhabi
- 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.
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.
