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Developer Master; Python/Gen AI/Databricks), Brazil
Job in
Brazil, Clay County, Indiana, 47834, USA
Listed on 2025-12-10
Listing for:
CI&T
Full Time
position Listed on 2025-12-10
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Employer Industry: Technology and Artificial Intelligence
Why consider this job opportunity- Opportunity for career advancement and growth within the organization
- Comprehensive benefits package including health and dental plans, meal vouchers, and childcare assistance
- Extended parental leave and wellness programs
- Participation in profit‑sharing plans
- Access to continuous learning platforms and professional development resources
- A collaborative work environment focused on innovation and inclusion
- Develop and implement software solutions using generative AI agents with a focus on innovation and efficiency
- Collaborate with multidisciplinary teams to translate business requirements into robust and scalable technical solutions
- Enhance GenAI agent models to ensure efficient and adaptive user interactions
- Actively participate in defining AI solution architecture, contributing innovative ideas to promote GenAI adoption
- Work with data pipelines in the Databricks environment, integrating GenAI technologies to transform data into actionable insights
- Proven experience in software development focused on artificial intelligence and machine learning
- Experience with frameworks like Lang Graph or similar for building intelligent agents
- Strong programming skills in Python, with knowledge of SQL and PySpark for data manipulation and analysis
- Proficient in using version control tools, especially Git
- Familiarity with cloud computing platforms (Azure, AWS, or GCP), with a preference for integration with Databricks
- Experience with provisioning and managing cloud infrastructure using code (IaC)
- Experience in Databricks development, including ETL process optimization
- Advanced knowledge of Kubernetes for container orchestration and distributed infrastructure management
- Experience with MLFlow for tracking machine learning experiments
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