Senior Machine Learning Engineer

Encontrado en: beBee S AR - hace 2 semanas


Argentina IT Scout A tiempo completo

â ï¸Only available for #residents of #Argentina #Uruguay
Our client envisions a world where the experience of selling or buying a home is simple and enjoyable for everyone. They offer a comprehensive cloud-based platform that enables residential real estate agents to deliver exceptional service to their seller and buyer clients. Founded in 2012 as one of the fastest-growing technology companies in a nearly $4 trillion industry, they have built a world-class engineering team that operates the only comprehensive platform in the real estate industry. Our client is convinced it can do much more and needs your expertise in building modern cloud services to evolve and create products that improve every step of the real estate agent experience, from first contact with a client to closing the deal.

Responsibilities:

Deploy machine learning models into production, and support these models throughout their lifecycle.Collaborate closely with our machine learning scientists to move models from experimentation phase to production.Build out customer facing features that make use of these models from end-to-end.Develop and support our machine learning infrastructure, including training and inference platforms.Work with product managers to discern customer needs and translate these needs into an end product.

What We Look For:

5+ years experience is preferred.Experience working on machine learning systems in a product oriented environment.Ability to collaborate with scientists, product management and work with an engineering-focused, iterative team to build and establish product requirements.Knowledge of machine learning frameworks and tooling, for example Python, Spark, PyTorch, SciKit learn, etc. Comfortable building prototypes from scratch.Experience working with a microservice based architecture.Experience with AWS development.BA/BS or MS in Computer Science/Machine Learning or equivalent and 5+ years experience is preferred.

Offers flexible work environment and benefits package:

100% remote work (Flexible around US timezones)USD fixed monthly compensation (through Deel)Paid local national holidaysAutonomy in managing delivery of your assignments and time offMac equipment provided




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