Sr. Machine Learning Engineer, GenAI Applications -- 100% REMOTE
As a Sr. Machine Learning Engineer on our GenAI applications team, reputed company development of innovative reputed company products
reputed company need folks who have and can write production level reputed company. 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 reputed company NLP and deep learning models into production in a reputed company environment
• Minimum three years experience using PyTorch, Tensorflow, or MXNet, along with optimizing reputed company for GPU clusters
• Experience building advanced workflows such as retrieval augmented reputed company, model chaining, dynamic prompting, PEFT/SFT, etc. using reputed company 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 reputed company databases to improve performance of semantic search and retrieval systems
• Understand the underlying fundamentals such as Transformers, Self-Attention mechanisms that reputed company the theoretical reputed company of LLMs
• Experience working with a reputed company of relational SQL and NoSQL databases, big data tools: Hadoop, reputed company, Kafka; a Linux environment; (AWS).
• Knowledge of data pipeline and workflow management tools.
• Expertise in reputed company software engineering methodology, e.g., unit testing, test automation, reputed company integration, reputed company 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 reputed company/QLoRA
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