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Generative AI Engineer
2 months ago
We are an early-stage startup redefining business intelligence with AI. Our team includes PhD machine learning researchers, a former AI researcher from Meta, and an ex-Director from an investment bank. Together, we are building an AI business intelligence product designed to transform how businesses gain competitive insights.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
- 5+ years of experience in developing and implementing generative AI models.
- Deep understanding of large language models, diffusion models, and other generative AI techniques.
- Proven track record of successfully advising on or leading AI projects from conception to deployment.
- Strong programming skills in Python and experience with AI frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with cloud platforms (AWS, GCP, Azure) for AI model deployment.
- Experience with MLOps practices and tools for model versioning and deployment.
- Excellent problem-solving skills and ability to optimize AI models for performance and efficiency.
- Outstanding communication skills, able to explain complex AI concepts to both technical and non-technical audiences.
- Knowledge of ethical AI principles and experience in addressing bias in AI systems.
Responsibilities:
- Provide expert advice on generative AI strategies, aligning them with company goals and technological capabilities.
- Guide the development and implementation of cutting-edge generative AI models and applications.
- Collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into products.
- Advise on best practices for AI model architecture, training, and fine-tuning.
- Conduct research on emerging generative AI techniques and evaluate their potential applications.
- Lead technical discussions and provide mentorship on generative AI to the engineering team.
- Develop proofs of concept and prototypes to demonstrate the potential of new AI technologies.
- Advise on ethical AI implementation, ensuring responsible use of generative models.
- Stay current with the latest advancements in generative AI and contribute to the company's thought leadership in this space.
- Collaborate with business stakeholders to identify opportunities for AI-driven innovation and improvement.