RSG Brasil
São Paulo, SP
Customer: Renewable Energy
Key Responsibilities
- AI 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.
www.rsgbrasil.com.br