Lead AI Engineer – P&E Data Platform

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

Job Overview

The Lead AI Engineer – P&E Data Platform at MetLife will play a pivotal role in driving the implementation and optimization of artificial intelligence models to enhance the organization’s data platform. This position requires a strategic thinker with a robust technical background, who can lead cross-functional teams to develop data-driven solutions that deliver significant business value. The successful candidate will be responsible for overseeing the design and deployment of AI initiatives, ensuring alignment with MetLife's overall goals and standards.

Job Responsibilities

• Lead the development of advanced AI models and algorithms to improve predictive accuracy and operational efficiency.
• Manage a team of data engineers and data scientists, fostering a collaborative environment for innovative problem-solving.
• Define and document best practices in the architecture and implementation of AI solutions within the P&E Data Platform.
• Collaborate with stakeholders to identify business requirements and translate them into technical specifications for AI initiatives.
• Oversee data governance and ensure compliance with industry regulations and company policies.
• Monitor and evaluate the performance of AI models, implementing improvements based on data outcomes.
• Provide technical leadership and mentorship to junior team members, supporting their professional development.
• Stay updated on the latest AI trends and technologies, applying this knowledge to enhance MetLife's capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; a Master’s degree is preferred.
• Minimum of 5 years of experience in AI engineering or data science roles, with a proven track record of successful project delivery.
• Strong expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in programming languages including Python, R, or Java, with experience in coding for data analysis and AI model development.
• Solid understanding of data structures, data modeling, and data analytics.
• Experience with cloud platforms like AWS, Azure, or Google Cloud in an AI or data-related context.
• Excellent problem-solving skills and the ability to work effectively in a dynamic, fast-paced environment.
• Strong communication and interpersonal skills to engage effectively with stakeholders at all levels.

Technologies & Tools

The successful candidate will utilize a wide range of technologies and tools in this position, including but not limited to data processing frameworks such as Apache Spark and Hadoop, database management systems like SQL and NoSQL databases, and visualization tools such as Tableau or Power BI. Proficiency in programming languages such as Python and R will be essential, along with cloud computing environments, specifically AWS or Azure, for hosting and scaling AI models.

Ideal Candidates

Ideal candidates for the Lead AI Engineer – P&E Data Platform position will possess a strong blend of technical expertise and leadership abilities. They should demonstrate a passion for innovation, with a commitment to leveraging AI technologies to create impactful solutions. The ability to communicate complex technical concepts in a clear and concise manner is crucial for engaging with stakeholders and collaborating with diverse teams. Candidates should also exhibit a proactive approach to problem-solving, with a strong analytical mindset that aligns with MetLife’s objectives for excellence in data management and AI application.