- The role holder is responsible for operationalizing AI solutions, integrating AI models into production systems, and driving AI initiatives end-to-end with focus on business value delivery. The role combines technical expertise in machine learning, MLOps, and solution engineering with strategic thinking and team collaboration to ensure AI systems are reliable, scalable, and impactful. The ideal candidate has experience deploying AI/ML models, managing ML pipelines, and providing solutions that meet enterprise needs.
- Bachelor’s degree in Computer Science, AI, ML, Software Engineering, or related technical field (required).
- Master’s or PhD in AI, ML, or Computer Science (preferred).
- Relevant certifications in cloud AI, ML, or MLOps (advantageous).
- 4–7 years of hands-on AI/ML engineering experience, with at least 2 years in senior or lead roles.
- Proven experience operationalizing AI solutions in production environments.
- Experience implementing MLOps best practices and managing scalable AI workflows.
- Background in LLM-based solutions, RAG systems, or AI Ops in enterprise contexts.
- Previous experience mentoring junior engineers and leading cross-functional AI projects.
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