AI Developer 1

Job Summary

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

Responsibilities

• Collaborate with stakeholders to identify business challenges and opportunities where AI can provide solutions.
• Design and develop AI models, algorithms, and applications based on identified requirements and use cases.
• Apply machine learning techniques to analyse and process large datasets to extract meaningful insights.
• Implement data pre-processing, feature engineering, and model training and evaluation pipelines.
• Conduct exploratory data analysis to gain a deep understanding of datasets and uncover patterns and trends.
• Optimize and fine-tune AI models to improve accuracy, performance, and scalability.
• Integrate AI models into existing systems and applications, ensuring seamless functionality and compatibility.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to ensure successful project execution.
• Document and communicate project progress, results, and insights to stakeholders in a clear and concise manner.
• Stay up to date with the latest advancements in AI, machine learning, and related technologies, and apply them to enhance existing solutions.
• The employee agrees to take over additional reasonable tasks that align with their abilities, if required.
• Solid understanding of statistical analysis, data visualization, and exploratory data analysis.
• Strong problem-solving skills and ability to translate business requirements into technical solutions. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to learn quickly and adapt to new technologies and methodologies.

Requirements

• Bachelor s degree in computer science, software engineering, data science, information systems, machine learning, or a related field, or equivalent experience required.
• Less than 2 years of experience in machine learning engineering, MLOps engineering, platform engineering, DevOps engineering, software engineering, or a related technical field required.
• Certification in cloud platforms, DevOps, machine learning, container orchestration, automation, or platform engineering preferred.
• Certification in cloud engineering, infrastructure automation, or machine learning operations preferred.
• Job Type: Full time

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.