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.
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