Generative AI Models Developer
Generative AI Models Developer
Posted on :
14-06-2025
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1 Vacancy
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Job Description
Exp range in required skills: 10 years
Key Responsibilities:
- Designing and Developing Generative AI Models: This involves creating and fine-tuning algorithms for generating new content using techniques like Generative Adversarial Networks (GANs) Variational Autoencoders (VAEs) and transformer-based models.
- Optimizing Model Performance: This includes improving model efficiency scalability and accuracy
- Collaborating with Cross-Functional Teams: Working with product managers engineers and other stakeholders to define project goals requirements and solutions.
- Developing and Maintaining Documentation: Creating clear and concise documentation for models processes and results.
- Communicating Complex Concepts: Explaining technical details to both technical and non-technical audiences.
- Providing Support and Guidance: Mentoring junior team members and offering expertise on generative AI.
- Integrating AI Solutions: Implementing and integrating generative AI solutions into existing systems and workflows.
- Data Preprocessing and Analysis: Working with large datasets including tasks like data cleaning feature extraction and data analysis.
- Skills and Knowledge: Strong Foundation in Computer Science: A degree or equivalent experience in computer science AI machine learning or a related field is usually required.
- Programming Proficiency: Fluency in programming languages like Python is essential along with knowledge of data structures and algorithms.
- Machine Learning and Deep Learning: Expertise in machine learning principles deep learning techniques and relevant frameworks like TensorFlow or PyTorch.
- Generative AI Expertise: Deep understanding of GANs VAEs and transformer-based models.
- Natural Language Processing (NLP): Experience with NLP techniques and tools can be beneficial especially for text-based generative AI model
Employment Type
Full Time
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