At Aristocrat, We are on a mission to find the best talent potential individuals in thirst for innovation & Knowledge evolution.
Career in Aristocrat Involves remote modality and several cutting edge stipend linked corporate certification in house programs.
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As an AI Engineer, you will be responsible for designing, implementing, and maintaining artificial intelligence and machine learning solutions for various applications. You will work closely with a team of data scientists and software engineers to develop cutting-edge AI models that can improve business processes, automate tasks, and enhance user experiences.
Responsibilities:
- Design, develop, and deploy AI and machine learning models and algorithms
- Collaborate with data scientists to gather requirements and create specifications for AI solutions
- Build and maintain data pipelines, databases, and APIs for data ingestion and processing
- Implement and integrate AI models into existing software applications or develop new applications
- Evaluate the performance and accuracy of AI models and make improvements as needed
- Conduct research and keep up-to-date with the latest AI and machine learning technologies and tools
- Develop and maintain documentation, user manuals, and technical reports
Send you CV to (WhatsApp)
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Requirements
- Bachelors or Masters degree in Computer Science, Software Engineering, or related field
- Experience with programming languages such as Python, Java, or C++
- Familiarity with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras
- Strong understanding of statistical methods, algorithms, and data structures
- Experience with data processing and analysis tools such as Pandas, NumPy, or Spark
- Excellent problem-solving and critical-thinking skills
- Strong communication and teamwork skills
- Ability to work independently and manage multiple projects simultaneously
Benefits
Extreme Learning and training environment.
Continuous growth every 3 months financially & in Responsibilities.
Compensation based on contribution value.
AI, machine learning, deep learning, data science, software engineering, Python, TensorFlow, PyTorch, Keras, statistical methods, data analysis, problem-solving, communication, teamwork.