EBLA Computer Consultancy is seeking an Artificial Intelligence/Machine Learning Engineer to join our innovative team in Kuwait City, Al Asimah. This is a hybrid, full-time position ideal for individuals passionate about leveraging AI and machine learning to solve complex problems. If you have a solid background in data science and machine learning and are eager to contribute to exciting projects, we want to hear from you!
Key Responsibilities
As an AI Engineer, you will be responsible for:
- Model Development: Design, develop, and optimize machine learning models and algorithms for various applications to meet business needs.
- Data Engineering: Ensure the quality and availability of data needed for model training and evaluation, enhancing the overall data pipeline.
- System Architecture: Architect and implement scalable machine learning systems that seamlessly integrate with existing infrastructure.
- Research and Innovation: Stay updated on the latest advancements in AI and machine learning, applying cutting-edge techniques to tackle complex challenges.
- Cross-Functional Collaboration: Work closely with product managers, software engineers, and domain experts to understand requirements and deliver high-quality solutions.
- Code Quality and Best Practices: Maintain high standards for code quality and documentation while promoting best practices in machine learning and software engineering within the team.
- Performance Monitoring: Develop and implement metrics to monitor model performance in production environments, making iterative improvements as needed.
Qualifications
To excel in this role, candidates should meet the following qualifications:
- Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degrees (Master’s or Ph.D.) are a plus.
- Experience: A minimum of 2 years of experience in machine learning and data science roles, with a strong portfolio showcasing successful projects.
- Technical Skills: Proficiency in programming languages like Python, R, or Java, along with experience in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Modeling Expertise: Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Data Handling: Experience in data preprocessing, feature engineering, and working with large datasets effectively.
- Deployment Knowledge: Familiarity with model deployment and scaling, including experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker).
- Analytical Skills: Strong problem-solving abilities and the capability to derive actionable insights from complex data sets.
- Communication Skills: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders clearly.
Preferred Qualifications
While not required, the following qualifications would be advantageous:
- Knowledge of big data technologies (e.g., Hadoop, Spark).
- Experience with MLOps and model management tools.
Benefits
Working at EBLA Computer Consultancy offers a range of benefits, including:
- Competitive Salary: A salary package that reflects your experience and contributions.
- Professional Growth: Opportunities for professional development and skill enhancement.
- Hybrid Work Environment: Flexibility to work from home and the office, promoting a healthy work-life balance.
- Inclusive Culture: Join a diverse and collaborative team that values your contributions and ideas.
Applying Guide
Are you ready to embark on an exciting career in AI and machine learning? Here’s how to apply for the Artificial Intelligence Engineer position:
- Update Your Resume: Ensure your resume highlights your relevant experience, skills, and projects in AI and machine learning.
- Write a Cover Letter: Prepare a concise cover letter that explains why you are the right fit for this role, including your experience and enthusiasm for AI.
- Submit Your Application: Send your resume and cover letter to our HR team through the application portal or the job listing site.
- Follow Up: If you haven’t heard back within a week, feel free to follow up regarding your application status.
- Prepare for Interviews: If selected for an interview, be ready to discuss your technical expertise and past projects in detail.