AI-ML Platform Engineer

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Written by AI from the job title and company, not by o9 Solutions, Inc., so some details may not match this job. The employer's own page has the real description.

Job Overview

As an AI-ML Platform Engineer at o9 Solutions, Inc., you will be instrumental in designing, developing, and optimizing machine learning platforms that provide analytical capabilities to our business solutions. Your expertise will support the integration of AI technologies into production environments, ensuring that our systems are robust, scalable, and capable of handling real-time data processing. Collaborating closely with cross-functional teams, you will utilize your technical skills to enhance the platform's functionality, performance, and user experience, driving innovation and excellence across our organization.

Job Responsibilities

• Design, develop, and maintain scalable machine learning and AI platform components.
• Implement data ingestion, feature engineering, and model training workflows.
• Optimize existing machine learning algorithms and infrastructure for performance improvements.
• Collaborate with data scientists and other engineers to refine models and accelerate deployment.
• Ensure high standards of data integrity, privacy, and compliance in all machine learning processes.
• Participate in code reviews and provide mentorship and guidance to junior team members.
• Prototype and evaluate new ML techniques, tools, and libraries to improve platform capabilities.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in software engineering with a focus on AI or machine learning.
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying ML applications.
• Knowledge of data pipelines, ETL processes, and handling large data sets.
• Strong understanding of algorithm efficiency, model evaluation metrics, and optimization techniques.

Technologies & Tools

The AI-ML Platform Engineer will work with a variety of technologies and tools, including but not limited to machine learning libraries such as TensorFlow and PyTorch, data processing platforms like Apache Spark, and cloud services like AWS and Google Cloud. Familiarity with containerization tools (e.g., Docker, Kubernetes) and CI/CD pipelines is essential for efficient deployment and maintenance of machine learning applications. Understanding of database technologies (SQL and NoSQL) will also be advantageous for managing data efficiently.

Ideal Candidates

Ideal candidates for the AI-ML Platform Engineer position will possess a strong analytical mindset coupled with a problem-solving attitude. They should be proactive learners, eager to stay abreast of the latest trends and technologies in artificial intelligence and machine learning. A collaborative spirit is essential, as the role entails working closely with diverse teams. The ability to communicate complex technical concepts clearly to non-technical stakeholders is also a valued trait, in addition to a commitment to delivering high-quality and reliable software solutions.