Advanced GenAI Solutions Architect
4 days ago
**Job Overview:**
We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Impact Analytics. This role will involve designing and developing cutting-edge GenAI solutions using both external assets and IA's proprietary models.
**Key Responsibilities:*
- Solve complex business problems in the global supply chain and retail industry using Machine Learning, with a focus on Generative AI.
- Build innovative GenAI solutions that address real-world problems efficiently.
- Contribute to the development of IA's industry-disrupting Foundational Model for Forecasting and integrate it into various product offerings.
- Deliver AI R&D objectives for one or more projects, working with other AI architects and CTO to design new Deep Learning/GenAI architectures and algorithms.
- Collaborate with stakeholders to identify opportunities for applying GenAI to solve real-world problems.
**Requirements:**
- At least 8-10 years in Software and Machine Learning with at least 2-3 years in Generative AI.
- At least 5-6 years in Deep Learning.
- Computer Vision or Natural Language Processing expertise.
- Strong conceptual knowledge of Generative modeling techniques, including Autoencoders, Diffusion, and Transformer architectures.
- Efficient Fine-tuning mechanisms, such as Adapter training and Multi-task learning.
- Hyperparameter Optimization, especially Bayesian and Multi-fidelity Optimization techniques.
- Proficiency in Python and associated frameworks like TensorFlow or PyTorch.
**Compensation:** The estimated salary for this position is $250,000-$350,000 per year, depending on experience.
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