ML Engineer
- Industry Type
- Air Conditioning, Refrigeration, HVAC
- Functional Area
- IT Information Technology Industry AirConditioning, Refrigeration, HVAC
- Nationality
- Any
- Keywords
- Azure 7 Statistical Analysis and Modeling 8 Collaboration and Communication
Job Description
Master-Works in Riyadh, Saudi Arabia is looking for a Machine Learning Engineer to design, build, deploy, and scale machine learning models. The role involves working with data science, software engineering, and MLOps to create intelligent systems and data-driven products.
- Position
- ML Engineer
- Company
- Master-Works
- Location
- Riyadh, Saudi Arabia
- Industry
- Air Conditioning, Refrigeration, HVAC
- Experience
- 1 to 20 years
Responsibilities
- Design and implement machine learning models using various programming languages and libraries.
- Collaborate with cross-functional teams to integrate machine learning models into products and systems.
- Scale machine learning models to handle large datasets and high traffic.
- Ensure the reliability, efficiency, and maintainability of machine learning models.
- Continuously optimize and improve existing machine learning models.
- Participate in code reviews and ensure adherence to best practices and standards.
- Stay up-to-date with the latest trends and advancements in machine learning and related technologies.
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About the role: ML Engineer
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Machine Learning (ML) Engineers design and develop algorithms that allow computers to learn from data and make decisions. They typically work in technology companies, research institutions, or any industry that uses data-driven solutions.
What this role usually involves
- Develop and implement machine learning models and algorithms.
- Analyze large datasets to extract meaningful insights.
- Collaborate with data scientists and software engineers to integrate ML models into applications.
- Optimize and maintain ML systems for performance and scalability.
- Stay updated with the latest ML research and technologies.
Skills employers usually look for
- Strong programming skills in languages like Python or Java.
- Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
- Ability to work with large datasets and data preprocessing.
- Understanding of algorithms, statistics, and data structures.
- Problem-solving and analytical thinking skills.
Usual qualifications
- A degree in computer science, data science, or a related field is usually expected.
- Knowledge of mathematics and statistics is important.
- Experience or training in machine learning and artificial intelligence concepts.
- Familiarity with software development and data engineering is beneficial.
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