AI/ML Engineer II

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Written by AI from the job title and company, not by Augment Jobs, so some details may not match this job. The employer's own page has the real description.

Job Overview

As an AI/ML Engineer II at Augment Jobs, you will play a pivotal role in enhancing our data-driven solutions by developing advanced machine learning algorithms and AI models. You will work collaboratively with cross-functional teams to design, implement, and optimize analytical frameworks that support various applications across the organization. Your role will require a strong foundation in machine learning principles, programming skills, and a passion for translating complex data into actionable insights.

Job Responsibilities

• Design, develop, and implement machine learning models and algorithms for various data-driven applications.
• Collaborate with data scientists and software engineers to integrate AI solutions into existing systems.
• Conduct data preprocessing and feature engineering to enhance model performance.
• Perform experiments to evaluate the effectiveness of different algorithms and methodologies.
• Monitor and maintain deployed models to ensure optimal performance over time.
• Document the development process, modeling, and results for knowledge sharing and compliance purposes.
• Stay current with the latest research and advances in AI and machine learning technologies.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field; Master's degree preferred.
• 2-4 years of experience in machine learning and AI application development.
• Strong programming skills in Python, R, or Java, with experience in relevant libraries such as TensorFlow, Keras, or PyTorch.
• Solid understanding of statistical modeling and data analysis techniques.
• Experience with data visualization tools and frameworks.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is advantageous.
• Excellent problem-solving skills and the ability to work both independently and as part of a team.

Technologies & Tools

This position utilizes a variety of technologies and tools, including but not limited to Python, R, TensorFlow, Keras, PyTorch, Scikit-learn, SQL databases, and data visualization software such as Tableau or Power BI. Experience with cloud-based platforms like AWS or Google Cloud will also be beneficial for the role.

Ideal Candidates

The ideal candidates for the AI/ML Engineer II position will possess a blend of technical expertise and innovative thinking. They should demonstrate a strong analytical mindset and possess excellent communication skills, enabling them to articulate complex concepts clearly to technical and non-technical stakeholders. A proactive attitude towards learning and adapting to new technologies will set them apart, along with the ability to thrive in a fast-paced and dynamic work environment.