Heinsohn Buiness Technology a leading software development and consultancy company with 40 years of market experience and several branches, now in more than 1,500 companies in the financial , Government, Health Care, Logistics, Law, and Startup industries in Latin and North America. Heinsohn has been growing fast, we are expanding and your talent and experience will be a great contribution to the Company.
Now we're seeking a Backend/Machine learning engineer for join our international team. If you're a professional passionate about innovation and with skills to develop and enhance technological solutions, this opportunity is for you.
Tasks Creating and productizing services to make available machine learning technologies from our Research team. Applying software development skills, machine learning and data science knowledge to improve our machine learning and record publication capabilities to extract data from historical records. Helping build the future of machine learning tools and services to support the purpose of FamilySearch. Utilizing data science in machine learning to improve overall extraction of information from historical records. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). English proficiency, minimun B2. Solid Java and Python programming skills Combination of 7 years of software development and machine learning experience. Hands on experience in using software development, data science and machine learning to extract structured information from historical document images. Must have utilized all three – machine learning, data science, and software development. Use of essential Linux data manipulation tools like sed, grep, sort, regexes, etc. Experience doing analysis on the results of the model processing with Splunk. Experience capturing data in the form of Jason files. Benefits At Heinsohn, we're all about taking care of our crew. Here's what's in it for you:
100% remote work USD payment as Contractor Growth opportunities A multicultural environment