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