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Associate - Projects
1 week ago
Years of exp required - 4 years to 10 years
Location - CHN/BLR/HYD/PUNE
Responsibilities:
- Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks(GANs), variational autoencoder (VAEs), and reinforcement learning.
- Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
- Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
- Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow.
- Develop and maintain clear and concise documentation of generative AI models, processes, and results.
- Communicate complex concepts and results to both technical and non-technical stakeholders.
- Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.
Requirements:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong background in artificial intelligence, machine learning, NLP and deep learning, with a focus on generative models.
- Technical knowledge and hands on exp with Azure OpenAI, Google Vertex Gen AI and AWS LLM foundational models,BERT, Transformers, PaLM, Bard etc.
- Proficiency in programming languages such as Python, and experience(- 6 years) with various PY packages(like TensorFlow, PyTorch, or Keras etc).
- Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning.
- Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies.
- Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team.
- Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure is a plus.
Employee Status :
Full Time Employee
Shift :
Day Job
Travel :
No
Job Posting :
Feb
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