Job Description
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:
- Experience in the (banking/financial services/industry-specificl sector.
- Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP.
- Proven experience working with Open Al or similar large language models (LLMs).
- Certifications in Data Science, Machine Learning, or Al.
- 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:
- Experience in the (banking/financial services/industry-specificl sector.
- Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP.
- Proven experience working with Open Al or similar large language models (LLMs).
- Certifications in Data Science, Machine Learning, or Al.
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