Sr. Machine Learning Engineer, GenAI Applications -- 100% REMOTE

As a Sr. Machine Learning Engineer on our GenAI applications team, lead development of innovative generative AI products Client need folks who have and can write production level code. 80% coding Individual Contributor role. Required Skills and Qualifications: • Minimum of seven years post-secondary education or relevant work experience • Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline. • Minimum of five years software development experience with Python and SQL. • Minimum of three years experience building pipelines to deploy NLP and deep learning models into production in a cloud environment • Minimum three years experience using PyTorch, Tensorflow, or MXNet, along with optimizing code for GPU clusters • Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools • Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools such as NeMo • Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems • Understand the underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs • Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; (AWS). • Knowledge of data pipeline and workflow management tools. • Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation. Duties and Responsibilities: • Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems. • Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA Apply Job! Apply to this Job