Gro Intelligence has developed the world’s most extensive agriculture data platform. Gain a competitive edge through access to Gro's unparalleled data, analytics, and forecasts from a single platform.

Gro’s leading edge software automatically harvests disparate data, transforms it into knowledge, and uses machine learning to make predictions.

Today, Gro offers:
- The world’s most extensive collection of agriculture data
- Analytical tools, predictive analytics, and proprietary models
- Intuitive agriculture-centric visualizations and live dashboards

We work on Gro’s products with the objective of enabling others to undertake better and deeper analysis in their fields of expertise. Increased incomes, climate change, and a growing population combined with unsustainable production and consumption patterns globally mean we need to figure out many smart solutions in a short period of time. We can’t address the issues facing agriculture on our own. People across the entire value chain must become more data-driven and innovative, which is why we have built the data infrastructure necessary to support and facilitate this innovation across the global food and agriculture industry.

Gro Intelligence is headquartered in New York City and has offices in Nairobi, Kenya.

Gro Intelligence is tackling two of the biggest problems facing the world today: food security and climate change. We understand and quantify the complex interplay between food, weather, trade, agriculture, and macroeconomic conditions in a world upended by climate change, a growing population, and more. The team at Gro has built a platform that allows businesses, non-profits, and governments to better plan for and adapt to these changes. With offices in both Nairobi and New York, Gro has the financial backing of prominent investors such as TPG Growth, Intel Capital, Data Collective, and GGV. Gro is a diverse, intellectually curious team of technologists, scientists, and business professionals united by a shared commitment to build AI that addresses agriculture, food, and our climate on the most fundamental level.

Gro was founded in 2014 and currently has offices in Nairobi and New York City. The company was built on diversity and the knowledge that artificial intelligence is only as good as the human intelligence behind it. Gro’s team represents the world it is modeling. At the company, we speak more than 27 languages and we comprise a wide range of experts, from agronomists and crop scientists, to mathematicians, engineers, data scientists, market research analysts, designers, historians, and philosophers. Our culture fosters collaboration between people of extremely different backgrounds that allows us to accomplish things that would otherwise seem impossible.&nbsp;

Gro Intelligence is proud to be an equal opportunity employer and will consider all qualified applicants regardless of color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, actual or presumed belonging to an ethnic group, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.

Software Engineer - ML (Machine Learning Engineer)

Strategic Education Inc. (NASDAQ: STRA) is dedicated to enabling economic mobility with education. Through a suite of innovative programs and services, we help our working adult students advance their careers and improve their lives. Our various learning pathways, include:
-	Strayer University
-	Capella University
-	Jack Welch Management Institute
-	Hackbright Academy
-	DevMountain
-	New York Code + Design Academy
-	Sophia
-	Degrees@Work
-	Generation Code

With a focus on improving college affordability, student engagement and workforce readiness, we are supporting the growing majority of non-traditional students and ensuring that our graduates have the skills required to succeed in today’s jobs.

A job opportunity for a Artificial Intelligence Engineer with a passion for solving real world problems using Machine Learning (ML), Artificial Intelligence (AI) and software engineering skills.

This notice is being posted pursuant to Department of Labor regulations for H-1B nonimmigrant workers. This is not an open and available position.

<b><u>NOTICE OF FILING LABOR CONDITION APPLICATION </u></b>

Complaints alleging misrepresentation of material facts in the Labor Condition Application and/or failure to comply with the terms of the Labor Condition Application may be filed with any office of the Wage and Hour Division of the United States Department of Labor.

Solve real world problems using well-developed skills in Machine Learning (ML), AI, data science and software engineering. Participate in a multidisciplinary team to understand the underlying business problems and apply technical knowledge to solve them. Develop both R&amp;D proof-of-concept systems and production ready pilot systems involving AI, ML and statistical modeling. Develop and deploy ML and/or deep learning models that support decision-making and predictions as well as optimally train, test, evaluate and tune those models. Perform feature engineering on raw data to produce suitable input for ML model training. Work with Python AI/ML frameworks such as Tensorflow, Keras, ScikitLearn. Incorporate open source Python libraries for doing task including entity recognition, information extraction, sentiment analysis, topic modelling, word2vec, visual object recognition, and speech recognition. Develop Natural Language Processing (NLP) applications to transform/process unstructured text data using open-source toolkit such as NLTK and Genism. Learn the structure and tables of the SEI data warehouse that pertain to the business areas relevant to the teams projects. Clean, analyze and process complex data sets to get it ready for ML processing. Using advanced SQL querying, visualization and analytics tools. Develop data pipelines using Google Cloud Platform (GCP). Develop software appropriately using Google Cloud API services such as speech recognition, sentiment analysis, computer vision and others. Perform Infrastructure provisioning on distributed computing systems on GCP. Design, build, and troubleshoot data processing systems that are secure, reliable, fault-tolerant, scalable, and efficient. Use source control software to maintain the team’s software library on multiple platforms including on-prem and GCP. Document code to the right level of detail. Keep up to date on the latest open source Python libraries in the latest new capabilities from GCP and look for evaluate them for improving the capabilities and reliability of the code base. Continues to grow knowledge of the latest developments in AI to identify candidate technologies for possible application to SEI’s business needs. Work with SMEs to elicit knowledge of areas of business knowledge relevant to the beginning stage of possible new AI systems.

Master of Science degree in Information Systems or a data science related field and 2 years of experience with experience in the following through coursework and/or work experience: Building robust software systems using well-developed skills in data mining, machine learning, and data science; Deploying statistical or data mining models that support decision making and predictions in applications; Utilizing Python language; Using Natural language Processing (NLP) software packages, such as Python’s NLTK; Working with at least one major cloud platform (AWS, Azure, or GCP); Fluent in advanced SQL querying; Adept at using visualization and analytics tools; Performing infrastructure provisioning in distributed computing environments; Designing, building, and troubleshooting data processing systems that are secure, reliable, and efficient; Keeping up-to-date on the latest developments in the Python and Data Science communities and look for opportunities to apply this knowledge to their work; Linux OS. 5% Travel Required

keras

jobs in Africa

Latest jobs