AI Specialist

Infosys Brazil is looking for professionals with the profile of AI Specialist to join our team.

Main activities and responsibilities:

• This role requires expertise in AI/ML, Generative AI, AWS (Bedrock/SageMaker), LangChain/LangGraph, vector search/RAG, MLOPS, ML engineers, and Backend AI expertise.
• Design and Deploy Autonomous AI Agents.
• Innovate and Drive AI Projects: ability to originate innovative ideas for applying AI agents to real problems.
• Apply Latest Research to Improve Systems: competence in staying up-to-date with recent developments in the AI/LLM field and incorporating those improvements.
• Optimize and Ensure Reliability of AI Agents.
• Design, develop, and deploy production ready AI/ML models and applications that solve critical business problems.
• Lead the AI Transformation in the region. Influence, educate and evangelize Data Science and AI in the region.
• Drive engagement and adoption of Data Science and AI. Consult in how to shape the Data Science and AI strategy for the region.
• Own the complete ML lifecycle: data pipeline design, feature engineering, model training, evaluation, deployment, and monitoring.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement MLOps best practices including model versioning, CI/CD pipelines, and automated retraining.
• Translate complex business requirements into technical AI/ML solutions with clear success metrics.
• Conduct code reviews and establish engineering best practices for AI projects
• Lead POCs and MVPs using design thinking methodologies to validate solution feasibility

• Advanced English communication.
• Availability for a hybrid work arrangement in São Paulo.
• Extensive experience in AI/ML engineering or related roles.
• Proven track record of deploying models to production environments.
• Proficiency in Python.
• Good understanding of AWS cloud architecture including Sagemaker and Bedrock.
• Ability to use identify and re-use GitHub projects to solve business problems.
• Experience working with cross-functional teams and translating business needs into technical solutions.
• Demonstrated ability to manage multiple projects and delivery results in agile environments.