Ai Engineer

Yeah! Global; New South Wales; On-site; AUD 120,000 - 160,000; Full time

Job summary

Yeah! Global is seeking a highly skilled AI Engineer to design, develop, and deploy state-of-the-art AI solutions that enhance product capabilities and drive innovation.

You will work on advanced machine learning algorithms, analyze large datasets, and collaborate with data scientists, software engineers, and product managers to deliver high-quality AI features. The role emphasizes deploying models to production and maintaining ongoing performance, with strong emphasis on documentation and

Qualifications

• BS/MS in CS or Engineering or related field.
• Proficiency in Python, R or Java and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience developing and deploying AI models in a professional setting.
• Strong analytical and problem-solving skills with large datasets.
• Excellent verbal and written communication to explain AI concepts.

Responsibilities

• Design and implement advanced machine learning algorithms to solve complex problems.
• Analyze large datasets to extract valuable insights and improve model performance.
• Train machine learning models and evaluate their performance using various metrics and methodologies.
• Integrate AI solutions into existing systems to enhance functionality and performance.
• Stay updated with the latest trends in AI and machine learning to drive innovation.
• Collaborate with data scientists, software engineers, and product managers to deliver AI solutions.
• Deploy AI models into production environments and ensure their ongoing performance.
• Create comprehensive documentation for AI models, algorithms, and systems.

Skills

Python

R

Java

Analytical thinking

Communication

Team collaboration

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Overview:

One of our clients is building a new team and looking for 7 highly skilled and motivated AI Engineers globally to join their dynamic team. As an AI Engineer, you will be pivotal in designing, developing, and deploying state-of-the-art AI solutions that enhance the capabilities of our products and services, driving efficiency and innovation.

Key Responsibilities:

• Design and implement advanced machine learning algorithms to solve complex problems.
• Analyze large datasets to extract valuable insights and improve model performance.
• Train machine learning models and evaluate their performance using various metrics and methodologies.
• Integrate AI solutions into existing systems to enhance functionality and performance.
• Stay updated with the latest trends in AI and machine learning, applying this knowledge to drive innovation within the team.
• Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver high-quality AI solutions.
• Deploy AI models into production environments, ensuring their ongoing performance and reliability.
• Create comprehensive documentation for AI models, algorithms, and systems to facilitate knowledge sharing and maintenance.

Qualifications:

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• Proficiency in programming languages such as Python, R, or Java, and strong understanding of machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
• Demonstrated experience in developing and deploying AI models in a professional setting.
• Strong analytical and problem-solving skills with experience in working with large datasets.
• Excellent verbal and written communication skills to explain complex AI concepts to non-technical stakeholders.
• Ability to work collaboratively in a team environment and contribute to project success.

Preferred Qualifications:

• Ph.D. in AI, Machine Learning, Data Science, or a related field.
• Experience in applying AI techniques in industries such as healthcare, finance, or e-commerce.
• Familiarity with big data platforms like Hadoop, Spark, and AWS.
• Published research in reputable AI or machine learning conferences or journals.