Applied AI Engineer

Required Skills

• 4+years of experience in machine learning, deep learning, or Al research, With a focus on generative models.
• Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.G., GPT-3 / 4, BERT, DALL.E).
• Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS).
• Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks.
• Strong programming skills in python and familiarity with relevant libraries and frameworks.
• proven experience in document detail extraction and feature engineering.
• Proficiency in data processing and manipulation techniques.
• Hands-on experience in building data applications using Streamlit or similar tools.
• Advanced knowledge in prompt engineering, chain of thought processes, and Al agents.
• Excellent problem-solving skills and the ability to work effectively in a collaborative environment.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Good to Have :