Data Engineering

hace 3 semanas

San Pedro Garza García, México John Deere A tiempo completo

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 Engineering - Monterrey

Primary Location: Garza Garcia

Function: 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 with an 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.

**Join Us in Revolutionizing Distributed Database Platforms at John Deere**

Are you passionate about solving highly complex problems at an enterprise scale? Do you thrive on working across the full technology stack? If so, our Infrastructure & Operations organization is the place for you.

At John Deere, we are transforming the delivery of infrastructure through innovative solutions that enhance our customers' experiences with our products. A key theme in our strategy is a complete rethink of our Distributed Database platforms. Our vision is to deliver Data Platforms with an intuitive user experience, invisible governance, proactive self-healing and automated optimization of resources. We will accomplish this transformation by leveraging Data, Machine learning, Artificial Intelligence, and Cloud Technologies. We are committed to maintaining the highest standards of quality and security, driving these principles by design.

**Main Responsibilities**:

- Partner 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

**What Skills You Need**:

- Proficiency 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 Out**:

- Experience with Machine Learning, AI Technologies, or GenAI using large language models
- Strategic thinking and change management skills
- Proven problem-solving abilities for enterprise-scale challenges.

**Education**:

- Bachelor's degree in IT, Computer Science or Engineering
- Advanced degrees or certifications in machine learning or data science are a plus

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