Develop AI models and data pipelines, conduct research on generative AI techniques, and collaborate with teams to implement AI solutions.
Responsibilities
- Develop data pipeline to process and analyse large amounts of information and prepare training datasets
- Build predictive models and machine-learning algorithms, discover trends and patterns
- Develop and implement generative AI models to address real-world challenges across various domains, including natural language processing, image, video and voice generation
- Conduct research on emerging generative AI techniques and algorithms
- Collaborate with cross-functional teams to design and deploy AI solutions
Requirements
- Experience in ML modeling techniques, supervised/unsupervised learning, deep learning frameworks, and generative AI, and NLP
- Experience with prompt engineering, prompt optimization, and multimodal generative AI
- Strong programming skills in Python and Unix/PowerShell scripting
- Experience with cloud computing platforms AI technologies such as AWS, GCP or Azure
- Experience in using LLMs such as Hugging Face ML models, GPT, Claude, etc
- Stay updated with the latest advancements in AI Technologies
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Top Skills
AWS
Azure
GCP
Powershell
Python
Unix
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