AI Machine Learning and Automation Engineer Dubai UAE

Position: AI Machine Learning and Automation Engineer

Date posted: 2023-07-17

Industry: IT

Employment type: Full Time

Experience: 4 to 7 year

Qualification: Bachelor’s Degree holder

Salary: AED 10000 to 20000

Location: Dubai, United Arab Emirates

Company: Confidential

Description:

Hiring AI Machine Learning, and Automation Engineer

#experience 4-7Yrs

#Dubai Location (Onsite)

Job Title: AI, Machine Learning, and Automation Engineer

Responsibilities:

AI and Machine Learning Development:

• Design, develop, and deploy AI and machine learning models and algorithms to solve complex business problems.
• Conduct data analysis and preprocessing to prepare relevant datasets for training and validation purposes.
• Explore and experiment with different machine learning techniques and algorithms to optimize model performance.
• Collaborate with data scientists and engineers to integrate AI and machine learning solutions into existing systems.

Automation and Process Optimization:

Data Analysis and Insights:

• Perform advanced data analysis to extract meaningful insights and patterns from large and complex datasets.
• Develop predictive models and algorithms to forecast future trends and outcomes.
• Collaborate with data engineers to ensure the availability and quality of data for analysis.

Research and Innovation:

• Stay up-to-date with the latest advancements and trends in AI, machine learning, and automation technologies.
• Conduct research and experimentation to explore new approaches and techniques for solving business problems.
• Propose and implement innovative solutions to enhance existing processes and systems.

Qualifications:

• Bachelors or master’s degree in computer science, Data Science, or a related field.
• Proven experience in developing and deploying AI and machine learning models in real-world applications.
• Strong knowledge of machine learning algorithms, statistical modeling, and data analysis techniques.
• Strong programming skills in languages such as Python, R, or Java.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of automation tools and technologies (e.g., Robotic Process Automation).
• Proficiency in data analysis and visualization using tools like SQL, Tableau, or Power BI.
• Strong problem-solving skills and ability to think critically and analytically.
• Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
• Strong organizational and time management skills, with the ability to prioritize and manage multiple tasks simultaneously.