AI/ ML Engineer

a leading product development company specializing in GenAI and ML-powered solutions. We're dedicated to pushing the boundaries of technology and delivering exceptional software products that redefine products and solutions to deliver business outcomes across industries. ● Design the data pipelines and engineering infrastructure to support machine learning systems at scale ● Take offline models data scientists build and turn them into a real machine learning production system ● Develop and deploy scalable tools and services to handle machine learning training and inference ● Identify and evaluate new technologies to improve the performance, maintainability, and reliability of machine learning systems ● Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. ● Support model development with an emphasis on audibility, versioning, and data security ● Facilitate the development and deployment of proof-of-concept machine learning systems ● Automate the deployment and scaling of machine learning models in production ● Monitor and maintain the performance and accuracy of machine learning models in production ● Implement continuous integration and delivery pipelines for machine learning models ● Collaborate with data scientists, software engineers, and other stakeholders to ensure machine learning models' effective deployment and operation ● Ensure the security, privacy, and compliance of machine learning models and related data ● Stay up to date with the latest technology and industry trends in MLOps You should apply If You Possess: ● Bachelor's or Master's degree in computer science, Information Technology, or a related field ● 3+ years of experience in data engineering or a related field ● Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or equivalent ● Experience in MLOps tools like MLFlow or Azure Machine Learning ● Strong software engineering skills in complex, multi-language systems ● Fluency in Python ● Experience working with cloud computing and database systems ● Experience building custom integrations between cloud-based systems using APIs ● Experience developing and maintaining ML systems built with open-source tools ● Experience developing with containers and Kubernetes in cloud computing

environments ● Ability to translate business needs to technical requirements ● Strong understanding of software testing, benchmarking, and continuous integration It will be good to have: ● The ideal candidate is curious, consultative, well-organized, articulate, and excited about working in a fast-paced environment ● Ownership mindset: Reliable, takes pride in the quality of their work. ● Hunger: A desire to explore and raise the bar in building search experiences and eagerness to embrace the new and unknown ● Communicator: Skills to communicate with stakeholders on engineering, product, business, and client teams