What Youll Do:
Develop and maintain software infrastructure and solutions to support the efficient development, deployment, and maintenance of machine learning models and our surveillance pipe solution in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models and a fully integrated scalable solution.
Design and implement software architecture for machine learning solutions.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning, software development, and related technologies.
Proficiency in software development and the ability to guide technical solutions.
Ability to explore, investigate solutions and technologies, and contribute to technological and architectural decisions with a hands-on approach.
Proficiency in Python with 5+ years of Python programming experience MUST.
Experience with software architecture design MUST.
Strong problem-solving skills with the ability to analyze existing operations.
Background in Linux and containerized environments such as Kubernetes and Docker MUST.
Experience with AWS MUST.
Software architecture experience MUST.
Experience with tools such as ElasticSearch/OpenSearch, RabbitMQ, Kafka, and Redis.
Experience with unit testing and CI/CD.
Experience working in a production environment and with data science teams Advantage.
Self-motivated, team player, action and results-oriented.
Well organized, with excellent communication skills.
