Analytics Manager

• Lead, mentor, a team of AI engineers, fostering a collaborative and innovative environment.
• Provide technical guidance and oversight throughout the AI solution development lifecycle.
• Drive best practices in MLOps, model development, testing, and deployment.
• Stay abreast of the latest advancements in AI/ML and recommend their application to relevant business challenges.

Hands-on AI Development:

• Design, build, and deploy end-to-end AI/ML models and systems that address critical after-sales service needs.
• Develop robust, scalable, and production-ready code for AI applications.
• Perform data exploration, feature engineering, model training, evaluation, and optimization.
• Integrate AI solutions with existing enterprise systems and data pipelines.

Strategy & Collaboration:

• Collaborate closely with product managers, data scientists, business stakeholders, and IT teams to understand requirements, define project scope, and deliver impactful AI solutions.
• Translate complex business problems into well-defined AI/ML technical requirements and architectural designs.

Problem Solving:

• Identify opportunities to leverage AI to improve efficiency, reduce costs, and enhance customer satisfaction in after-sales service.
• Debug and troubleshoot complex AI systems and data issues.