Machine Learning Engineer
3 days ago
Senior/Head/Director of Machine Learning
Hybrid within Riyadh
PIF Tech company - Very competitive salary at each level of seniority
Job Overview:
As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models and algorithms to drive the next generation of intelligent solutions. You'll work closely with data scientists, software engineers, and product teams to create scalable and efficient machine learning systems.
Key Responsibilities:
- Develop, implement, and optimize machine learning algorithms and models.
- Analyze large datasets to derive actionable insights and identify trends.
- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
- Conduct experiments and perform rigorous testing to validate and refine models.
- Deploy machine learning models into production and monitor their performance.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
- Build data collection pipelines to collect high-quality data.
- Build annotation pipelines to collect ground truth using humans and AI models in the loop.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
- Proven experience as a Machine Learning Engineer or similar role.
- Experience with key ML concepts, especially Computer Vision and Natural Language Processing.
- Deploy machine learning models into production environments for real-time inference and batch processing.
- Optimize inference latency and throughput to meet application requirements.
- Strong programming skills in Python, R, or other relevant languages.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with data analysis and visualization tools.
- Excellent problem-solving skills and attention to detail.
Director
Employment typeFull-time
Job functionInformation Technology, Engineering, and Research
IndustriesTechnology, Information and Media and IT Services and IT Consulting
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