IA Data Engineer Lead
Detalhes do trabalho
Função do cargo
Technology Architect
Local de trabalho
Sao Paulo
Estado/Região/Província
Sao Paulo
País
Brazil
Habilidades
Others (Please specify in the Requisition notes)
Domínio
Delivery
Grupo de interesse
Infy Brazil
Empresa
INFOSYS TECNOLOGIA DO BR
ID da requisição
144353BR
Infosys Brazil is looking for professionals with the profile of Technical Lead to join our team
Main activities and responsibilities:
• Design, develop, and deploy production ready AI/ML models and applications that solve criti-cal 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
• Evaluate and integrate emerging AI technologies (LLMs, GenAI, RAG systems) into Syngenta's ecosystem
• Lead POCs and MVPs using design thinking methodologies to validate solution feasibility
• Optimize model performance, latency, and cost-efficiency for production systems
• Contribute to Syngenta's AI platform capabilities and reusable component libraries
• 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
• Evaluate and integrate emerging AI technologies (LLMs, GenAI, RAG systems) into Syngenta's ecosystem
• Lead POCs and MVPs using design thinking methodologies to validate solution feasibility
• Optimize model performance, latency, and cost-efficiency for production systems
• Contribute to Syngenta's AI platform capabilities and reusable component libraries
Required Qualifications:
Hard Skills:
• Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.
• 3-5 years of hands-on 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
Leadership Skills
• Cross-Functional Technical Leadership: Lead end-to-end AI/ML project delivery by orches-trating collaboration between data engineers, business stakeholders, and product teams—translating complex business requirements into scalable technical solutions while establish-ing clear success metrics and driving alignment across diverse audiences with varying tech-nical backgrounds.
• Engineering Excellence & Mentorship: Drive MLOps best practices and engineering stand-ards across the team through conducting code reviews, establishing reusable component li-braries, and guiding junior engineers on production deployment patterns—building organiza-tional AI capability while ensuring technical debt management and architectural excellence.
• Strategic Innovation & Stakeholder Influence: Champion AI-driven business transformation by leading POCs and MVPs using design thinking methodologies, evaluating emerging tech-nologies (LLMs, GenAI, RAG), and proactively identifying opportunities for AI improve-ments—securing stakeholder buy-in through clear communication of technical trade-offs, ROI potential, and risk mitigation strategies to executive and non-technical audiences.
• Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.
• 3-5 years of hands-on 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
Leadership Skills
• Cross-Functional Technical Leadership: Lead end-to-end AI/ML project delivery by orches-trating collaboration between data engineers, business stakeholders, and product teams—translating complex business requirements into scalable technical solutions while establish-ing clear success metrics and driving alignment across diverse audiences with varying tech-nical backgrounds.
• Engineering Excellence & Mentorship: Drive MLOps best practices and engineering stand-ards across the team through conducting code reviews, establishing reusable component li-braries, and guiding junior engineers on production deployment patterns—building organiza-tional AI capability while ensuring technical debt management and architectural excellence.
• Strategic Innovation & Stakeholder Influence: Champion AI-driven business transformation by leading POCs and MVPs using design thinking methodologies, evaluating emerging tech-nologies (LLMs, GenAI, RAG), and proactively identifying opportunities for AI improve-ments—securing stakeholder buy-in through clear communication of technical trade-offs, ROI potential, and risk mitigation strategies to executive and non-technical audiences.
Additional information:
Type of work: CLT, Flexible hours.
Benefits package: Transport vouchers, meal vouchers, childcare assistance, life insurance, funeral assistance, medical and dental insurance.
Career: Global work on national and international clients and/or projects, possibility of international career movement.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
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