Machine Learning Engineer at silver

We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Machine Learning Engineer silver. Est. Compensation: . 70-84k/yr. Location: . Argentina, Uruguay. Area: . NLP, LLM, Image recognition. Machine Learning Engineer. At HomeVision we seek to build products and tools that help the home appraisals industry work more efficiently to value an asset class that is collectively worth $40 trillion. As such our team is now growing and we are needing to hire an experienced . Machine Learning Engineer. .. We are looking for an engineer with a product focus who can apply machine learning (ML) techniques and tools to rapidly deliver features to our customers. We have a solid base of features that use ML techniques to pull information from images and text and are looking to aggressively expand our capabilities in these areas.. What you’ll do. You’ll be responsible for working with our product team to design and deliver features based on your knowledge of ML tools and techniques.. This is an ideal position for someone who wants to see their work be used by customers as quickly as possible and who does not want limits imposed on how fast they can grow or learn. Our processes are designed to get solutions from conception to production quickly and reward those with initiative. Because solution delivery is the primary goal, a strong curiosity and a hunger for continuous learning are more important than a formal degree in data science or machine learning.. What you’ll bring. Strong quantitative reasoning skills and mathematical background, especially in the areas of probability, statistics, calculus, and linear algebra. Experience building solutions in python using common libraries such as pandas, numpy, and scikit-learn. Fluency in English. Desire to build and deliver high quality solutions. Ability to communicate statistical analyses. A solid understanding of the landscape of common applied machine learning techniques. Bonus points. Commercial experience with natural language processing Broad software engineering skills beyond machine learning