AI Software Engineer

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

Overview

As an AI Software Engineer at Recipe Costing Software, you will play a pivotal role in the development and optimization of our intelligent software solutions designed for the food industry. You will collaborate with cross-functional teams to design, build, and maintain robust AI algorithms that enhance the functionality and accuracy of our application, ultimately aimed at improving recipe costing and inventory management. This position requires a strong blend of technical expertise and problem-solving skills to deliver innovative solutions that meet both business goals and user needs.

Job Responsibilities

• Develop and implement machine learning models to drive predictive analytics for recipe costing and inventory management.
• Collaborate with data scientists and product managers to gather requirements and translate them into functional specifications.
• Optimize existing algorithms to improve performance and accuracy of AI models.
• Conduct testing and validation of AI models to ensure reliability and scalability.
• Document development processes, code changes, and model methodologies for future reference and team knowledge sharing.
• Stay updated with the latest advancements in AI technologies and apply them to enhance product offerings.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field; Master’s degree preferred.
• Minimum of 3 years of experience in software development, specifically in AI or machine learning.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of data structures, algorithms, and software development methodologies.
• Familiarity with database management and big data technologies such as SQL, NoSQL, Hadoop, or Spark.

Technologies & Tools

In this role, the AI Software Engineer will leverage a range of technologies and tools including Python for algorithm development, TensorFlow for machine learning model training, Git for version control, and Docker for application deployment. Additionally, familiarity with data visualization tools such as Tableau or Power BI will be beneficial for presenting analytical findings to stakeholders.

Ideal Candidates

The ideal candidates for this position will possess a blend of strong analytical skills, creativity, and the ability to work collaboratively within a team. They should have a proactive approach to problem-solving and a keen interest in the food industry, particularly in how data-driven decisions can enhance operational efficiencies. A passion for continuous learning and innovation in technology will also set apart candidates who will thrive in this dynamic environment.