RSG BrasilSão Paulo, SPCustomer: Renewable EnergyKey ResponsibilitiesAI Strategy & Leadership Define and execute a comprehensive AI strategy aligned with the company’s goals.Champion AI initiatives across the organization, fostering a culture of innovation.AI Development Lead the design, development, and deployment of AI solutions, including machine learning models, predictive analytics, and natural language processing tools.Apply AI methodologies to address business challenges such as energy usage forecasting, customer insights, and operational efficiency.Cross-Functional Collaboration Partner with internal teams, including Data Analytics, IT, and Business Units, to identify opportunities for AI integration.Translate business needs into AI-driven solutions that drive results.Data & Infrastructure Oversee the integration of AI tools with existing data infrastructure, ensuring scalability and reliability.Ensure data pipelines and models deliver actionable insights that align with business priorities.Project Management Manage AI projects from concept to deployment, including data preparation, model development, testing, and implementation.Team Leadership Build and lead a high-performing team of AI and data professionals.Provide mentorship, encourage skill development, and promote a culture of continuous learning.Stakeholder Engagement Communicate complex AI concepts and results to senior leadership and non-technical stakeholders.Advocate for data-driven decision-making at all organizational levels.Continuous Improvement Stay at the forefront of AI advancements, identifying emerging trends and technologies that could benefit the business.Compliance & Ethics Ensure AI solutions adhere to data privacy regulations, ethical AI practices, and industry standards.Key Qualifications Education Master’s or PhD in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related technical field.Technical Expertise 5+ years of experience in AI development, machine learning, and advanced analytics.Proficient in programming languages such as Python, R, or similar.Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and deploying AI solutions in production.Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies.Strong knowledge of data architecture, databases (SQL/NoSQL), and data engineering practices.Industry Experience Experience in the energy sector is a strong plus but not required.Demonstrated success in applying AI to solve real-world business challenges.Leadership & Communication Proven ability to lead teams, manage projects, and deliver results.Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical audiences.Problem-Solving & Innovation Exceptional analytical and problem-solving skills.A track record of developing innovative AI solutions that create business value.Preferred Skills Familiarity with AI applications in energy, such as consumption forecasting, smart grids, or customer behavior analytics.Certifications in AI, data science, or cloud platforms (e.g., AWS Certified Machine Learning).Knowledge of ethical AI practices and data privacy compliance.What We Offer A collaborative and innovative work environment.Opportunities to lead impactful AI projects with real-world applications.Competitive compensation package, including health benefits, retirement plans, and professional development opportunities.Flexible working arrangements, including remote work options.#J-18808-Ljbffr