TMS, Inc · 2 days ago
Sr. Machine Learning Engineer, Generative AI Applications
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Manufacturing
Insider Connection @TMS, Inc
Responsibilities
Actively contribute to and re-use community best practices.
Monitor, debug, track, and resolve production issues.
Work with project managers to ensure that projects proceed on time and on budget.
Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.
Complete other responsibilities as assigned.
Qualification
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Required
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
Company
TMS, Inc
Leading provider of total mechanical solutions for customers large and small, in all areas of physical plant maintenance, plant expansions, construction, and line installations.
Funding
Current Stage
Early StageRecent News
2024-05-27
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