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