Ethical AI Engineer

Vintti is a staffing agency dedicated to boosting the economic efficiency of US companies. We provide access to a diverse range of skilled Latin American professionals, allowing businesses to build robust teams without the traditional high costs associated with domestic hiring. Our model supports companies in maximizing their resources, driving innovation, and achieving sustainable growth.

An Ethical AI Engineer is a professional dedicated to developing and implementing artificial intelligence technologies while ensuring they align with ethical standards and guidelines. They focus on creating AI systems that are fair, transparent, and unbiased, considering the societal, legal, and moral implications of these technologies. This role involves collaboration with cross-functional teams to incorporate ethical considerations throughout the AI development lifecycle, from data collection and model training to deployment and monitoring. By prioritizing the responsible use of AI, Ethical AI Engineers help build trust and mitigate risks associated with emerging technologies.

- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
- Strong understanding of AI ethics, ethical frameworks, and best practices.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with AI/ML frameworks and tools like TensorFlow, PyTorch, or scikit-learn.
- Solid knowledge of bias detection and mitigation techniques.
- Proven experience in conducting code reviews and audits.
- Excellent problem-solving and analytical skills.
- Ability to collaborate effectively with cross-functional teams.
- Strong written and verbal communication skills.
- Experience in documenting and communicating complex ethical considerations.
- Up-to-date knowledge of relevant regulations and industry standards in AI ethics.
- Ability to design and deliver educational sessions on ethical AI.
- Experience with third-party tool evaluation for ethical compliance.
- Track record of monitoring and maintaining ethical standards in deployed AI systems.
- Proven ability to respond to and resolve ethical incidents efficiently.
- Participation in AI ethics forums and policy-making discussions.
- Familiarity with transparency and accountability mechanisms in AI.
- Strong engagement skills with external stakeholders, including customers and regulatory bodies.
- Experience in developing organizational policies and guidelines.
- Competence in conducting risk assessments focused on ethical and compliance issues.

- Develop ethically sound AI models and systems.
- Implement and enforce ethical guidelines in AI development.
- Conduct code reviews and ethical audits of AI systems.
- Collaborate with multi-disciplinary teams to integrate ethical considerations.
- Analyze and mitigate biases in AI datasets and algorithms.
- Document ethical issues and decisions in AI processes.
- Stay informed on AI ethics regulations and industry standards.
- Design and deliver training on ethical AI practices.
- Evaluate third-party tools for ethical compliance.
- Monitor the ethical performance of deployed AI systems.
- Address and resolve ethical concerns or incidents in AI systems.
- Participate in ethical AI forums and policy discussions.
- Develop transparency mechanisms for AI decision-making processes.
- Engage with customers and regulatory bodies on AI ethics.
- Contribute to organizational ethical AI policies and guidelines.
- Conduct risk assessments for ethical and compliance issues in AI projects.

The ideal candidate for the Ethical AI Engineer role is a highly ethical and professionally committed individual with a Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. They possess a profound understanding of AI ethics, frameworks, and best practices, coupled with proficiency in programming languages such as Python, R, or Java, and expertise in AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. Demonstrating strong analytical and problem-solving skills, they excel in identifying and mitigating biases within AI datasets and algorithms while conducting thorough code reviews and ethical audits. This candidate is experienced in documenting complex ethical considerations and communicating them effectively across multidisciplinary teams and to external stakeholders, including customers and regulatory bodies. They stay attuned to evolving AI ethics regulations and industry standards and have a proven ability to design and facilitate educational sessions on ethical AI practices. The individual is proactive, meticulous, and thrives in a dynamic, fast-paced environment, showing adaptability to changing regulations and industry landscapes. They are passionate about fostering an ethical culture, inspire and educate team members, and actively contribute to policy discussions and industry standards development. Exhibiting high accountability, leadership, and advocacy for fairness, transparency, and inclusivity, they are dedicated to integrating ethical AI practices organization-wide while maintaining strong organizational skills and the ability to manage multiple priorities simultaneously. With empathetic engagement and sensitivity to the diverse impacts of AI, the ideal candidate embodies technical curiosity and innovation within ethical boundaries, driving responsible AI development.

- Develop and implement AI models adhering to ethical guidelines and best practices.
- Conduct regular code reviews and audits to ensure AI systems meet ethical standards.
- Collaborate with cross-functional teams including data scientists, product managers, and legal experts to incorporate ethical considerations into AI products.
- Perform bias detection and mitigation analysis on AI datasets and algorithms.
- Document and communicate ethical issues and decisions made during the AI development process.
- Stay updated on the latest regulations and industry standards related to AI ethics.
- Design and conduct training sessions on ethical AI practices for team members and stakeholders.
- Evaluate third-party tools and technologies for their compliance with ethical standards.
- Monitor the performance and impact of deployed AI systems to ensure ongoing adherence to ethical guidelines.
- Respond to ethical concerns or incidents related to AI systems and implement corrective actions as necessary.
- Participate in forums, discussions, and task forces focused on the development of ethical AI practices and policies.
- Develop transparency and accountability mechanisms to track the decision-making processes of AI systems.
- Engage with external stakeholders, including customers and regulatory bodies, to discuss and address ethical considerations in AI.
- Contribute to the development of organizational policies and guidelines on ethical AI development and deployment.
- Conduct risk assessments to identify potential ethical and compliance risks associated with AI projects.

- Strong ethical integrity and commitment to responsible AI development
- Proactive approach to identifying and addressing ethical issues
- High-level of attention to detail and meticulousness
- Excellent critical thinking and analytical abilities
- Strong interpersonal skills for effective cross-functional collaboration
- Excellent communication skills for conveying complex ethical considerations clearly
- Empathy and sensitivity to the diverse impacts of AI technologies
- Passion for continuous learning and staying updated on AI ethics advancements
- Ability to thrive in a dynamic and fast-paced environment
- Adaptability to changing regulations and industry standards
- High degree of accountability and responsibility in professional practice
- Strong organizational skills and ability to manage multiple priorities simultaneously
- Demonstrated leadership in fostering an ethical culture within the team
- Resilience and problem-solving mindset for resolving ethical challenges
- Strong advocacy for fairness, transparency, and inclusivity in AI development
- Commitment to promoting and implementing ethical AI practices organization-wide
- Ability to inspire and educate team members on the importance of AI ethics
- Keen interest in contributing to policy discussions and industry standards development
- Open-mindedness and receptiveness to diverse perspectives and ethical viewpoints
- Technical curiosity and passion for innovation within ethical boundaries

- Competitive salary range based on experience and qualifications.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off (PTO) and holiday schedule.
- Flexible work hours and remote work options.
- Professional development opportunities and continuous learning support.
- Employee wellness programs and mental health resources.
- 401(k) plan with company match.
- Stock options or equity opportunities.
- Office amenities including free snacks and beverages.
- Subsidized transportation or parking benefits.
- Parental leave and family support programs.
- Company-sponsored social and community service events.
- Access to the latest technology and tools for AI development.
- Budget for attending conferences, workshops, and industry events.
- Mentorship programs and career growth opportunities.
- Collaborative and inclusive work culture.
- Opportunities to contribute to groundbreaking AI ethics research and projects.
- Recognition and rewards programs for outstanding performance.
- Comprehensive life and disability insurance plans.