Description

Design, build, and deploy machine learning and NLP applications with a heavy focus on Generative AI and Large Language Models.

Responsibilities

• Develop and implement solution architectures for Generative AI, conversational AI chatbots, and cloud AIaaS.
• Train, fine-tune, and deploy LLMs using instruction tuning, RLHF, and PEFT (LoRA, adapters).
• Architect RAG systems and transformer-based solutions using LangChain and SQLChain.
• Measure and benchmark LLM performance and application scalability.
• Drive end-to-end implementation and deployment using Azure and AWS services.

Required Skills

• 10+ years of experience in machine learning and artificial intelligence.
• Expertise in LLMs including OpenAI GPT, Anthropic Claude, Meta Llama2, and Google Gemini.
• Hands-on experience with RAG systems, LLM fine-tuning, and Vector Databases.
• Strong programming skills in Python with a focus on optimization and software design.
• Deep understanding of ML/DL techniques, including CNN, RNN (LSTM), and Transformers (BERT, BART, GPT/T5, Megatron).
• Experience training models using PyTorch and performing NLP data wrangling and tokenization.
• Knowledge of conversational AI, including NLU, NLG, dialog systems, and information retrieval.
• Proficiency with MLOps workflows and platforms such as Kubeflow, MLFlow, or AirFlow.
• Database management experience with SQL and MongoDB.

Preferred Skills

• Experience with project management and guiding teams in a matrix environment.

Key Skills

Education

Bachelor’s or Master’s degree