Engineering Manager - AI Applications

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Requirements:

• Bachelor's or Master’s degree in Computer Science, Engineering, AI/ML, or a related field; advanced degrees in AI or machine learning are a plus.
• 7+ years of software engineering experience, with at least 3+ years focused on developing production-grade applications.
• 2+ years of experience in a leadership or management role, with a proven track record of managing engineering teams.
• Strong proficiency in programming languages such as Python, Java, or C++.
• Familiarity with cloud platforms (AWS, GCP, Azure) and deploying AI applications in cloud environments.
• Experience with AI frameworks such as TensorFlow, PyTorch, or Keras, as well as MLOps tools like Kubeflow or MLflow.
• Strong leadership and mentorship abilities, with a passion for developing talent and high-performing teams.
• Excellent communication skills, capable of translating complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills and the ability to navigate challenges in AI application development.

Responsibilities:

• Oversee the design, development, and deployment of AI applications, ensuring alignment with business goals and technical standards.
• Manage the end-to-end delivery of AI application projects, ensuring they are completed on time, within scope, and quality.
• Collaborate closely with product managers, machine learning engineers, and other engineering teams to define requirements and integrate AI features into products.
• Lead, mentor, and develop a team of engineers focused on AI applications.
• Contribute to AI strategy, identifying integration opportunities and improving existing solutions.
• Provide technical guidance on system architecture, data pipelines, and deployment processes.
• Define KPIs and establish monitoring frameworks to track AI application performance.