Ai Engineer

Overview

Key Responsibilities

• Designing and implementing machine learning algorithms and models.
• Creating and managing datasets for AI training and testing.
• Developing and deploying AI applications and solutions.
• Collaborating with crossfunctional teams to integrate AI capabilities into software and systems.
• Optimizing AI models for performance scalability and efficiency.
• Performing statistical analysis and finetuning models for maximum accuracy.
• Researching and staying current on AI and machine learning trends and technologies.
• Building and training neural networks for various applications.
• Working on natural language processing and computer vision projects.
• Documenting and presenting AI solutions and findings to stakeholders.
• Ensuring the ethical and responsible use of AI technologies.

Required Qualifications

• Bachelors or Masters degree in Computer Science Data Science or a related field.
• Proven experience in developing and deploying machine learning and deep learning solutions.
• Strong proficiency in Python programming for AI and data analysis.
• Expertise in working with machine learning libraries and frameworks (e.g. TensorFlow Keras PyTorch).
• Experience with data preprocessing feature engineering and model evaluation.
• Knowledge of cloud platforms for AI development and deployment (e.g. AWS Azure GCP).
• Understanding of algorithms and data structures.
• Excellent problemsolving and analytical skills.
• Ability to communicate complex AI concepts to nontechnical stakeholders.
• Familiarity with agile development methodologies and DevOps practices.
• Experience in working with big data technologies and distributed computing.
• Strong understanding of ethical considerations in AI development and deployment.
• Ability to work effectively in a collaborative teambased environment.
• Continuous learning and selfimprovement mindset in the field of AI and machine learning.

machine learning,deep learning,python,data science,neural networks