Responsible AI Engineer Specialist

Responsibilities: Develop and implement AI models with a focus on ethical and responsible practices Assess and apply RAI dimensions (bias, fairness, robustness, explainability) and mitigate risks Support client sales conversations and proposal preparation Optimize and maintain AI systems to meet performance and ethical standards Participate in end-to-end AI development lifecycle (data prep, design, coding, testing, deployment, support) Contribute to internal guidelines, best practices, and technical training for responsible AI Stay updated on AI trends, ethics, and tech advancements Identify and correct biases in datasets and models Document development processes and maintain transparent decision records

Key requirements: 3+ years of experience in developing and evaluating ML models and AI solutions Proficiency in Python, R, or Java; familiarity with Scikit-learn, TensorFlow, or PyTorch Experience with rapid API development (Django, Flask, FastAPI) and version control (GitHub, Bitbucket) Experience with databases and data processing; knowledge of cloud platforms (AWS, Azure, Google Cloud) Ability to work with complex datasets and perform preprocessing and analysis Strong problem-solving, collaboration, and communication skills; commitment to ethical AI Strong communication Team collaboration Ethical AI mindset Python, R, or Java Scikit-learn, TensorFlow, PyTorch Django, Flask, FastAPI