AI/ML Engineer

Description

We are seeking a skilled and experienced Back End Developer specializing in
the deployment, support and monitoring of AI/Client solutions. As a Back End Developer, you will
collaborate with data scientists and Client engineers to productionalize AI/Client models as part of
larger AI solutions. This role will require proficiency with java development and familiarity with
python development. Data competency is a must for this position in-terms of being able to work
with data in-motion (kafka, data APIs) as well as data at rest (MySQL and Snowflake data
stores).

Responsibilities

• ● Collaborate closely with data scientists and Client engineers to deploy Client models into callable
• rest endpoints and incorporate those models into user-facing AI solutions.
• ● Work with data scientists and Client engineers to design and implement feedback loops to allow
• the AI solutions to learn and improve over time.
• ● Create data stores to feed needed inputs to AI/Client models and store feedback from users.
• ● Some data engineering tasks to populate a real-time feature store and ensure it syncs with
• source systems
• ● Monitor application performance, diagnose bottlenecks, and implement performance
• improvements as needed.
• ● Implement robust error-handling mechanisms and ensure the application's fault
• tolerance and high availability.
• Qualifications:
• ● Bachelor's degree in Computer Science, Software Engineering, or related field (or
• equivalent experience).
• ● Proven track record of developing high-performance back-end applications with quick
• response times in Java and microservices
• ● Experience working with AI/Client teams
• ● Hands-on experience with highly-available databases and designing data-stores for
• low-latency data retrieval.
• ● Proficiency with Java, familiarity with python. Bonus points for experience deploying
• applications requiring GPU resources.
• ● Strong understanding of RESTful API design principles and best practices.
• ● Knowledge of cloud platforms and containerization technologies (e.g., Docker,
• Kubernetes).
• ● Experience designing robust systems and monitoring strategies to ensure high-levels of
• quality and availability
• ● Strong communication and collaboration skills.
• ● Experience with Agile development methodologies is a plus.