We are looking for a Senior Machine Learning Engineer to join our team and contribute to the success of the GenAI initiative. In this position, you will focus on building, enhancing, and optimizing backend systems to support LLM-powered applications using OpenAI APIs. Your expertise in MLOps, CI/CD, observability tools, and cloud-native platforms will be key to ensuring the scalability, reliability, and efficiency of AI-driven solutions.
Responsibilities
Design and enhance backend systems to support AI and LLM-based applications
Deploy and manage LLM applications within cloud environments
Optimize AI systems to meet performance and reliability standards
Develop automated deployment workflows using CI/CD pipelines
Monitor and maintain the stability of AI services
Establish observability and logging systems to track LLM API performance
Work with DevOps teams to enhance workflows and ensure system reliability
Collaborate with AI and Data Science teams to improve and expand application capabilities
Utilize cloud platforms, particularly Azure, to deploy and scale AI solutions
Create and implement APIs and microservices to enable AI-powered functionalities
Requirements
A minimum of 3 years of experience in Machine Learning Engineering with a focus on backend and software development
Extensive experience integrating and working with OpenAI APIs and similar AI services
Proficiency in using MLOps tools such as Orion, ArgoCD, and Opsera for deployment automation
Hands-on experience with observability and monitoring tools, including Grafana, Dynatrace, and ThoughtSpot
Strong knowledge of cloud platforms, especially Azure, along with expertise in Apache Spark and Databricks
Advanced Python skills for backend development and implementation
Demonstrated experience in designing and building APIs and microservices architectures
Fluency in English, both written and spoken, at a B2+ level or higher
Nice to have
Understanding of Data Science principles and methodologies
Experience working with Large Language Models (LLMs)
Familiarity with Natural Language Processing (NLP) techniques and tools