Artificial Intelligence Engineer Jr / CS / Uberlândia - MG (Uberlândia, Minas Gerais, BR) bei Bayer Global - Home | Bayer Global

Artificial Intelligence Engineer Jr / CS / Uberlândia - MG

Our mission – Health for all, Hunger for none – is at the heart of everything we do.
Now, imagine a workplace where your voice truly matters. A place where you're invited to take part in decisions, where your unique skills and knowledge guide the projects you join. Here, leaders are more than managers – they’re mentors and coaches, walking alongside you. And with innovation and planning cycles as quick as 90 days, we’re always moving forward, together.

With our new way of working, called Dynamic Shared Ownership (DSO), we’re building a more agile, less bureaucratic organization – one that’s focused on creating real value for everyone: farmers, patients, consumers, employees, investors, and society as a whole.

At Bayer, Diversity and Inclusion aren’t just buzzwords – they’re core values we live by every day. We believe that when people from different backgrounds come together, amazing things happen. Diverse teams spark creativity, drive innovation, and make our workplace more welcoming for everyone.

If you’re someone who wants to shape your own path, who values creativity and brings a spirit of innovation – you’ll feel right at home here. Come be part of this journey. Be yourself. We are Bayer.

GET TO KNOW OUR AREA:

AI Engineers are full members of an agile development team. They interact with product management, customers, and engineers on their and related teams while applying their own experiences to build relevant technical solutions to business problems. They seek out and own mid- to long-term deliverables while refining their domain and technical knowledge. They also mentor and coach more junior engineers while building relationships with senior engineers across the company.

YOUR MISSION WILL BE TO:

• Lead and participate in design sessions with Enterprise and Hub Data Stewards, Engineering teams, Data Scientists, Product Managers, business and IT stakeholders, that result in design documentation for data processing, storage and delivery solutions;

• Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders, and apply this knowledge to identifying business problems that could be solved;

• Evaluate new technologies, like Domino or Redshift, or new languages, like Go or React, including performing POCs and presenting results to others, with a goal of providing technical recommendations;

• Challenge the team to improve processes and methodologies, like SCRUM or Kanban, and/or initiate piloting new ones;

• Implement data solutions according to design documentation using a variety of tools and programming languages, like Kafka, SQL and non-SQL databases, Scala, Go etc., following team’s established processes and methodologies, like SCRUM or Kanban;

• Facilitate and participate in code reviews, retrospectives, functional and integration testing and other team activities focused on improving quality of delivery;

• Provide reliable estimates for short term projects and assist in large scale project estimation;

• Collaborate with other data engineers and stewards within the team and across data, technical platforms and product teams on aligning roadmaps, delivery dates and integration efforts;

• Mentor junior and aspiring Data Engineers on the team and across the data community;

• Represent the team at various cross team meetings and events focused on design and planning, like Scrum of Scrums and Release Planning, sharing the results of team efforts, or brainstorming on process improvements;

• Create and maintain design and code documentation in GitHub, Haystack, SharePoint and/or another repositories used by the team.

ARE YOU READY FOR THE POSITION?

Must have:

• Bachelor’s degree in Computer Science, Software Engineering, or related field;

• Relevant experience is an acceptable substitute for the degree requirement;

• Proven professional Data engineering experience. Advanced degrees in relevant fields (Masters, PhD, AI, ML) count as experience time;

• Advanced English communication;

• Strong understanding of embeddings, cosine similarity, vector search, and Retrieval-Augmented Generation (RAG);

• Proven experience in fine-tuning large language models (LLMs);

• Proficiency in Python and familiarity with Pydantic models, Jinja, API, Dockers;

• Hands-on experience with LangChain and/or LangGraph frameworks;

• Programming Languages: Proficiency in Python, R, and SQL for agricultural data analysis and model development;

• AI/ML Frameworks: Experience with TensorFlow, PyTorch, scikit-learn, and agricultural-specific ML libraries;

• Computer Vision: Expertise in image processing for crop monitoring, disease detection, and automated harvesting using OpenCV and specialized agricultural vision libraries;

• IoT & Sensor Data: Experience working with agricultural IoT sensors, weather stations, and precision farming equipment data;

• Geospatial Analysis: Knowledge of GIS systems, satellite imagery processing, and spatial data analysis tools like GDAL and PostGIS;

• Cloud Platforms: Experience with AWS, Azure, or Google Cloud, particularly their agricultural and IoT services;

• Time Series Analysis: Expertise in analyzing temporal agricultural data including weather patterns, crop growth cycles, and seasonal trends;

• Familiarity with the relevant industry trends.

Nice to Have:

• Familiarity with MCP and A2A frameworks;

• Understanding of self-attention mechanisms and Attention-RAG;

• SLM Fine-tuning: Experience with fine-tuning language models on agricultural datasets and implementing PEFT techniques;

• LangGraph & Agentic AI: Proficiency in designing multi-agent systems for agricultural applications;

• Context Engineering: Expertise in prompt engineering and RAG systems for agricultural knowledge management;

• Edge AI: Experience deploying AI models on resource-constrained agricultural devices.

What else you’ll find here:

At Bayer, we care deeply about the well-being of our people. That’s why our benefits are built around three essential pillars: integrated health, financial well-being, and life balance. Together, they support a healthier, more fulfilling life – inside and outside of work.

Here’s a glimpse of what we offer:

• Encouragement for a healthy lifestyle
• Support in identifying and monitoring physical and mental health risks
• Initiatives focused on health promotion, prevention, and care
• Real balance between personal and professional life
• Guidance for personal financial planning
• Insurance and private pension plans to help you build a secure future

And of course, we also offer a full range of market-standard benefits, including medical and dental care, life insurance, meal benefits, and Wellhub (formerly Gympass).

What makes us different:

• Flexible/hybrid work model*
• Short Fridays and extended holiday breaks*
• Flexible vacation planning (within legal guidelines)
• Language courses – Free access to standard courses through our partner Education First (EF), in multiple languages like English, Spanish, German, French, Portuguese, and Swedish
• Pharmacy subsidy – 50% discount on Bayer over-the-counter products, and full coverage for prescription Bayer medications
• Conte Comigo – A support program offering psychological assistance, help with substance dependency, and legal and financial counseling
• Bem Nascer – A special package of exclusive benefits for new parents
• Childcare assistance – Additional support for parents welcoming a new child
• Parental leave – A benefit designed to strengthen family bonds, offering equal opportunities for all parents, regardless of gender identity or family structure
• Private pension plan – A long-term savings plan with a 200% company match on your contributions

*Benefits may vary depending on your role and location.