Gen AI Engineer
3 weeks ago
We are seeking a highly skilled and motivated Data Scientist specializing in Generative AI to join our team. The ideal candidate should possess in-depth knowledge of Lang Chain and Open LLM frameworks and be proficient in creating cutting-edge NLP models and Generative Adversarial Networks (GANs), Autoencoders, transformers, BERT Word/Doc to Vector, as well as computer vision models using GANs, Autoencoders, and Variational Autoencoders (VAE). The candidate should also be an expert in Python code refactoring and have hands-on experience in developing end-to-end NLP Deep models.
Candidate should have 10+ years of experience as a developer (focused in Python), in ML/DS/NLP and 2 years of exp. in Generative AI
Here's how you'll contribute:
Develop and implement advanced NLP models using Lang Chain, Open LLM, GANs, Autoencoders, transformers, and BERT Word/Doc to Vector.
Create computer vision models utilizing GANs, Autoencoders, VAE, and other relevant techniques.
Optimize and fine-tune Deep learning models to enhance performance and efficiency.
Refactor and improve existing Python codebase for better performance and scalability.
Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.
Stay up-to-date with the latest research and advancements in the field of Generative AI and NLP.
Provide technical guidance and mentorship to junior team members.
Ability to solution and execute end to end Generative AI Project along with Project Leads
Help in Solution designing and contributing to overall Data Science Practice
Skills required to contribute:
Bachelor's with 10+ years of experience or Master's degree in computer science, Engineering, or a related field with 8+ years of experience
Proficiency in Lang Chain and Open LLM frameworks to perform summarization, classification, Name entity recognition, Question answering
Strong expertise and hands on Experience in developing NLP models, including GANs, Autoencoders, transformers, and BERT Word/Doc to Vector.
Hands-on experience in creating computer vision models with GANs, Autoencoders, VAE, etc.
Excellent Python programming skills with a proven ability to refactor and optimize code.
Demonstrated experience in developing end-to-end NLP Deep models.
Strong problem-solving skills and the ability to work independently and as part of a team.
Excellent verbal and written communication skills.
Ability to contribute effectively to multiple teams as an individual contributor.
Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.
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