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  • Engineer - Sydney - Jobleads-Au

    Jobleads-Au
    Jobleads-Au Sydney

    2 weeks ago

    Default job background
    Description

    Job Overview:


    We are building a new team and seeking 7 highly skilled and motivated AI Engineers globally.



    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:



    • Bachelor's or Master's 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.


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