HCLTech | Generative AI Engineer
5 days ago
RESPONSIBILITIES:
- Develop and contribute to end-to-end architecture of highly scalable, distributed machine learning solutions for AI/ML/DL/NLP platforms. Contribute to the research and development of advanced generative AI models such as LLM’s ,SLM’s including GANs, VAEs, autoregressive models, and novel architectures.
- Deployment of generative AI models, frameworks, and algorithms into scalable REST API services.
- Conduct research and stay up-to-date with the latest advancements in generative AI to ensure our solutions are at the forefront of the industry.
- Perform code reviews, identify areas for improvement, and optimize AI models for efficiency and scalability.
- Collaborate with data scientists and engineers to preprocess and curate datasets suitable for AI applications.
- Continuously evaluate and improve the performance, accuracy, and reliability of Deep learning and AI models through experimentation and iteration.
TECHNICAL COMPETENCIES & EXPERIENCE:
- Proven experience 6+ working in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence.
- Proven track record of designing and implementing deep learning AI solutions, preferably in an industry setting.
- Strong programming skills in languages such as Python, TensorFlow, PyTorch, and frameworks such as LlamaIndex, LangChain and Haystack used in language model development.
- In-depth knowledge of generative AI techniques, including but not limited to generative adversarial networks (GANs), variational auto-encoders (VAEs), and deep reinforcement learning.
- Experience in data mining, Text Mining, working and creating data architectures
- Experience in Microsoft Azure cloud platform
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