Machine Learning Engineer

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
• Proficiency in Python, MLFlow and Spark would be considered an asset.
• Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
• Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

Benefits

Additional Information

The Wow As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization. A taster of what you will be involved with: Design, implement, and optimize machine learning models to solve complex business problems. Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring. Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems. Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality. Write and maintain high-quality, production-ready code for machine learning models and services. Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

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Company Intel

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