Ai Safety Researcher

Role Summary

Join our dynamic team as an Ai Safety Researcher, making an impactful contribution in the IT industry. You will be part of a project focused on enhancing AI safety measures, ensuring that our technological advancements align with ethical standards. Your expertise will be crucial in shaping the future of AI systems and their safe implementation.

Responsibilities

• Conduct thorough research on AI safety protocols and standards, contributing to the development of robust safety frameworks.

• Collaborate with cross-functional teams to evaluate the implications of AI technologies on society, ensuring responsible innovation.

• Analyze data and case studies to identify potential risks and propose effective mitigation strategies for AI implementations.

• Engage with stakeholders to communicate research findings and advocate for best practices in AI safety.

• Contribute to the creation of guidelines and policies that govern the ethical use of AI technologies within the organization.

• Stay updated on the latest advancements in AI research and safety regulations to inform strategic decisions.

Ways of Working

• Foster a collaborative environment that encourages open communication and knowledge sharing among team members.

• Embrace a proactive approach to problem-solving, leveraging innovative techniques to address challenges in AI safety.

• Participate in regular training and workshops to enhance your skills and stay abreast of industry trends.

Collaboration & Communication

• Work closely with researchers, engineers, and product managers to integrate AI safety considerations into the development lifecycle.

• Present research findings to executive leadership and contribute to strategic discussions on AI initiatives.

• Build relationships with external experts and organizations to share insights and collaborate on safety standards.

Growth Signals

• Opportunities for professional development through leadership training and involvement in high-impact projects.

• Potential for advancement within the organization based on demonstrated expertise and contributions to AI safety initiatives.

Must-Haves

• RAGAS, AI Accountability Standards, AI Bias Identification, AI Ethics Assessment, AI Ethics Principles, AI Governance, AI Governance Frameworks, AI Policy Analysis, AI Policy Understanding, AI Risk Assessment, AI Safety, AI Safety Protocols, AI System Auditing, AI Transparency Tools, Advanced AI Safety Techniques, Adversarial Machine Learning, Algorithmic Transparency, Architecture Design, Basic Knowledge of AI Alignment, Basic Knowledge of AI Robustness, Complex Systems Design, Critical Thinking, Data Analysis, Data Privacy, Data Privacy Regulations, Distributed Systems, Enterprise Architecture, Ethical AI Design, Ethical Decision Making, Ethical Frameworks, Explainability (SHAP/LIME), Fairness Metrics, Guardrails AI, Hugging Face, Human-AI Interaction Safety, Impact Assessment, LLM Red Teaming, MITRE ATLAS, Machine Learning Basics, Model Security, OWASP Top 10 for LLMs, Performance Optimization, PyTorch, Python, Research Methodologies, Responsible AI, Responsible AI Frameworks, Risk Assessment, Safety Testing Methods, Safety Verification Techniques, Standards Setting, Statistical Analysis, System Design Basics, Technical Strategy, Threat Modeling, MITRE, ATLAS

Good-to-Have Skills

• AI Ethics Workshops, Agile Methodology, Basic Knowledge of AI Safety, Basic Programming Concepts, Budget Management, Cloud Computing, Collaborative Research, Communication Skills, Conflict Resolution, Cross-Functional Leadership, Cross-Functional Teamwork, Data Visualization, Deep Learning Techniques, Documentation Skills, Ethical AI Frameworks, Ethics in Technology, Git, JIRA, Mentoring Skills, Networking Skills, Organizational Strategy, Policy Advocacy, Presentation Skills, Problem Solving, Public Speaking, Research Publication, Stakeholder Engagement, Strategic Planning, Team Collaboration, Technical Writing, TensorFlow, Vision Setting

Engagement & Compensation

• Employment Type: Freelance

• Work Mode: Onsite

• Location: Delhi, Delhi, India

• Openings: 1 position available.

• Experience: 6 to 8 years