for Fresh Candidates
for intermediate Candidates
for Experienced Candidates
Average Salary
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field preferred
An AI Engineer is responsible for designing, developing, and implementing artificial intelligence and machine learning systems. The role involves creating algorithms, training machine learning models, analyzing large datasets, and integrating AI solutions into applications or business processes. AI Engineers work with data scientists, software developers, and researchers to develop intelligent systems such as chatbots, recommendation systems, image recognition, and automation tools.
40 hours per week (standard full-time schedule)
Monday to Friday
Typical shift: 9:00 AM – 6:00 PM
Overtime may be required during project deadlines or system development phases
Knowledge of machine learning and deep learning algorithms
Proficiency in programming languages such as Python, R, or Java
Experience with AI frameworks such as TensorFlow, PyTorch, or Keras
Understanding of data analysis, statistics, and big data technologies
Knowledge of natural language processing (NLP) and computer vision
Strong analytical and problem-solving skills
Communication and teamwork abilities
Develop and implement AI and machine learning models
Analyze large datasets to extract insights and patterns
Train, test, and optimize machine learning algorithms
Integrate AI solutions into software applications or systems
Monitor and improve the performance of AI systems
Collaborate with developers, data scientists, and business teams
Conduct research to stay updated with new AI technologies
Maintain documentation and reports on AI projects
Health insurance
Paid annual leave and public holidays
Transportation allowance
Overtime pay for extra working hours
Pension and retirement plans
Professional training and certification programs in AI and data science
Flexible working hours or remote work options in some companies
Career growth opportunities in AI research, data science, or technology leadership