I've searched for Lead AI/ML Engineer positions in Chicago, emphasizing cloud-based software solutions, requiring 4+ years of experience with ML models, offering full-time roles in a hybrid work environment, and with salary offers starting at $100,000. I found 45 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Lead AI/ML Engineer role at 84.51° is fundamentally focused on leveraging advanced machine learning and artificial intelligence to enhance Kroger's manufacturing business through data-driven insights. This position is tailored for someone who possesses a strong technical foundation in software engineering, machine learning algorithms, and data engineering, necessitating the ability to translate complex mathematical models into actionable, scalable solutions. The responsibilities highlight the importance of both leadership in driving technical projects and collaboration with junior engineers, suggesting a dual emphasis on project management and mentorship. The capacity to innovate and optimize is crucial, as this role will involve integrating emerging AI implementations and monitoring model performance across diverse datasets. Success in this position would look like the successful launch and maintenance of robust machine learning solutions that effectively serve stakeholders' needs, ultimately enhancing operational efficiency and customer experience through personalized insights. Candidates will face challenges like balancing speed and accuracy in model delivery and navigating the complexities of working with large-scale data, requiring both strategic thinking and practical technical skills.

Company Analysis:

84.51° operates at the intersection of retail and data science, positioning itself as a leader in providing personalized experiences for consumers. This company's innovative approach, particularly through its unique use of first-party data, reflects a strong commitment to customer-centricity and cutting-edge technology. The culture appears to value collaboration, creativity, and professional development, suggesting that employees in this role will thrive in an environment that rewards innovation and looks for continual improvement. Given the company's focus on enhancing the consumer journey for organizations like Kroger, the role of Lead AI/ML Engineer is crucial for scaling and optimizing product offerings. The position is likely to offer substantial visibility to upper management due to its pivotal role in driving strategic initiatives. Understanding how this role aligns with the broader corporate goals—like increasing operational efficiency and enhancing shopper experiences—will be essential for any candidate aiming to make a meaningful impact in their tenure at 84.51°.

Absolutely. Here are some mock interview questions that could come up:

• Can you describe a time when you led a project that required collaboration across different teams? What challenges did you face, and how did you overcome them?
• Tell me about a complex machine learning model you developed. What was the project about, and how did you ensure its scalability and performance?
• How do you approach mentoring junior team members? Can you give an example of how you supported someone's growth in their technical skills?
• Describe a situation where you had to make a time-sensitive decision about a ML model. What was your process, and what was the outcome?
• What strategies do you use for automating and deploying machine learning solutions? Can you walk us through a recent project where you applied these strategies?
• Given the focus on manufacturing at Kroger, how would you prioritize and develop ML solutions that effectively address business needs?
• Imagine you encounter a significant drop in model performance. What steps would you take to diagnose the issue and stabilize the solution?
• Suppose there's a disagreement between team members regarding the approach to a specific AI implementation. How would you facilitate a resolution?
• Why do you want to work for 84.51° specifically, and how do your skills align with our mission to enhance shopper experiences through data?
• How do you keep up with the latest trends and technologies in AI and machine learning? Can you share an example of how you applied a new trend in a past project?
• What do you see as the biggest challenges in using first-party retail data to enhance personalization in retail?
• If you were to join our team, what areas would you want to focus on first, based on the job description and 84.51°’s goals?
• What aspects of our company culture resonate with you, and how do you see yourself contributing to our collaborative environment?