Job Title: Gen AI Engineer

Experience Level: 4-6 Years

Position Overview:

We are seeking a skilled and experienced Gen AI Engineer with 4-6 years of experience in Python programming and a strong background in developing and fine-tuning NLP/NLU models, as well as implementing cutting-edge algorithms for generative AI models. The ideal candidate will have a passion for staying updated with the latest developments in Generative AI, specifically in NLP/NLU research, and applying new techniques to enhance solutions. This role requires proficiency in NLP/NLU, deep learning models, cloud computing platforms, and hands-on experience with PyTorch, TensorFlow, and MLOps practices.

Key Responsibilities:

• Develop and fine-tune NLP/NLU models, including transformer-based models (BERT, GPT, etc.), for language understanding tasks such as language generation, sentiment analysis, and entity recognition.
• Preprocess and curate text data, including text cleaning, tokenization, and data augmentation, to prepare it for training NLP/NLU models.
• Innovate and implement cutting-edge algorithms to improve the performance, accuracy, and efficiency of the NLP/NLU models.
• Assess model performance using relevant NLP metrics and optimize models for real-world applications.
• Stay updated with the latest developments in Generative AI, specifically in NLP/NLU research, and apply new techniques to enhance solutions.
• Utilize open source LLMs such as Llama 2, Falcon, etc., and programming languages like Python for NLP/NLU model development.
• Deploy and maintain NLP/NLU models on cloud computing platforms for efficient model training and deployment.
• Utilize tools like Langchain, Embedchain, and Vector Database to enhance data processing and model development workflow, as well as a rich understanding of vector stores and search algorithms.
• Design control and sandboxing systems for AI research and contribute to the development of high-performance, large-scale ML systems.
• Implement MLOps best practices and support the end-to-end CI/CD process for AI model deployment.
• Contribute to open source projects and standardize methods for creating APIs, ML/Ops automation, and more.

Preferred Qualifications:

• Research publications or contributions in the fields of NLP, NLU, and Generative AI.
• Experience with Conversational AI and Chatbot platforms such as Kore.ai, Botpress, Nuance, etc.

Qualifications and Skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 4-6 years of hands-on experience in NLP/NLU research and development, with a focus on deep learning models and generative AI.
• Strong expertise in programming languages such as Python and experience with NLP libraries/frameworks like spaCy, NLTK, Hugging Face Transformers, and Generative AI and LLM frameworks.
• Familiarity with cloud computing platforms for model training and deployment.
• Exceptional problem-solving skills and the ability to work on complex language understanding and generative AI projects.
• Hands-on experience with PyTorch, TensorFlow, and MLOps practices.
• Experience maintaining and/or contributing to bug bounty and responsible disclosure programs.
• Proven track record of supporting fast-paced engineering teams in a startup environment.

Seniority level:

Mid-Senior level

Employment type:

Full-time

Job function:

Information Technology and Engineering

Industries:

Technology, Information and Media