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AI/ ML Engineer
2 months ago
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
