solutions based on customer requirements
- Manage underlying solution infrastructure necessary for production deployment, demonstrating proficiency
in technologies such as Docker, pipeline orchestrators, and lakehouse database systems like Databricks.
- Leverage expertise in distributed computing frameworks, specifically in scalable machine learning and high-
performance data processing (e.g., using technologies like Apache Spark).
- Contribute to the strategic growth of the AI FDE Practice, including participation in technical assignments
and knowledge transfer activities.
- Ensure all client engagements and training activities are properly documented and reported via designated
partner platforms.
Required Skills
- 4+ years of hands-on professional experience developing, deploying, and managing Generative/Agentic AI
or Machine Learning systems, with a mandatory requirement for productionizing and maintaining models in a live environment.
- 3+ years of experience in a customer-facing consulting or solutions architect role, focused on technical
implementation and delivery.
- Excellent verbal and written communication skills for effective client and internal team interaction.
- Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated
deployment best practices.
- Demonstrable experience with infrastructure management, encompassing containerization (Docker) and
data pipeline orchestration.
- Expertise in Python for data-intensive and scalable AI/ML applications.
- Demonstrated commitment to continuous learning in emerging AI/ML fields.