.There are 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before in our 175-year history. Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.Title: Data Engineer - MonterreyPrimary Location: Garza GarciaFunction: Data & Analytics (CA)John Deere is a foremost leader in the ag equipment business, and we continue to put a solid stamp on other industries. For over 150 years, the company's portfolio of groundbreaking products has grown to include industries related to and outside of agriculture, including Turf, Construction and Forestry and Wind Technologies. The image of John Deere is no longer that of a signature green tractor meandering across a field; it's been replaced withan image of acceleration, swift progress, and innovative leaping toward the company's 200th year. The product line alone serves as proof with advances in machine performance, equipment automation, fleet management, and John Deere's ongoing investment in emerging markets.Note: All candidates should have their tax situation certificate (Constancia de Siituación Fiscal) up to date with the salary regime to be eligible for the hiring process.Main ResponsibilitiesPartner with us to transform our distributed database platforms and enhance the customer experience.Drive innovative solutions that improve customer interactions with our database products.Ensure quality and security are integral to all processes and solutions.Collaborate across teams to solve complex problems and implement cutting-edge technologies.Skills and QualificationsProficiency in Python or R, and familiarity with libraries such as scikit-learn, TensorFlow, Keras, or PyTorch.Experience with data manipulation libraries (e.G., Pandas, NumPy) and databases (e.G., SQL).Knowledge of various ML algorithms and techniques including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with implementation of machine learning models and algorithms tailored to specific business problems.Proficiency in Data, AI, and Cloud Technologies.Familiarity with DBMS technology, including SQLServer, Oracle, and PostgreSQL.Proven experience leveraging DevSecOps and lean development principles such as Continuous Integration and Continuous Delivery.Experience designing highly scalable and fault tolerant systems with strong observability tooling.Effective communication and leadership skills.What Makes You Stand OutExperience with Machine Learning, AI Technologies, or GenAI using large language models.Strategic thinking and change management skills
