Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Skills
Sr. Machine Learning Engineer
Python
NoSQL
SQL
AWS
Hadoop
Job Details
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.