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Machine Learning Engineer

Компания VIGO Industries
Тип Удаленная работа
Оклад 1500 - 2500 USD в месяц
Описание вакансии

WE ARE WORKING on EST TIME ZONE (NEW YORK)

FULL TIME


We are seeking a skilled Machine Learning Engineer to join our dynamic team. In this role, you will design, develop, and implement machine learning models to solve real-world problems. You will collaborate with cross-functional teams to deploy models into production, analyze data, and continuously improve model performance.

Responsibilities:

  • Build and optimize machine learning models for large-scale data.
  • Develop scalable pipelines for data preprocessing and model training.
  • Collaborate with data scientists, engineers, and product teams to implement models.
  • Monitor and maintain deployed models in production environments.

Requirements:

  • 2+ years of experience in machine learning.
  • Strong programming skills in Python, TensorFlow, or PyTorch.
  • Experience with data preprocessing and model evaluation.
  • Knowledge of cloud services (AWS, GCP, etc.) is a plus.

Apply now to join our team and help shape the future with cutting-edge AI solutions!

https://www.vigoindustries.com/


TO ENHANCE LIVING

Guided by our mission statement, we aspire to deliver increasing value within our industry each and every day. VIGO’s goal is for our products to fit seamlessly into your life, reflecting your style while simultaneously improving upon your everyday.


THE MOST CREATIVE PRODUCTS

When VIGO designs a new product, form is as vital as function. If a product does not look as appealing in its lines as in its purpose, then it is not worthy of your home or of our name. We produce stunning fixtures for our customers, ensuring that they are bringing home products that are just as stylish as they are safe.


THE CUSTOMER EXPERIENCE

In every aspect of the customer experience, from research and point of sale to post-sale connections, VIGO’s intention is for our customers to have an ideal experience. We always keep an open dialogue with customers and retailers, encouraging feedback in all forms. Perfecting a product’s style, strength and function is only worth our time when the result is a content customer.

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