Sr. Machine Learning Engineer, Generative AI Applications – 12+ Months- C2C- Remote: Sr. Machine Learning Engineer, Generative AI Applications – 12+ Months- C2C- Remote
JOB DESCRIPTION ***Role: Sr. Machine Learning Engineer, Generative AI Applications*Sr. Machine Learning Engineer, Generative AI Applications – 12+ Months- C2C- Remote
*Duration: 12+ Months on C2C*Sr. Machine Learning Engineer, Generative AI Applications – 12+ Months- C2C- Remote
*Location: Remote, EST, can be US or Canada based*Sr. Machine Learning Engineer, Generative AI Applications – 12+ Months- C2C- Remote
*Experience: 15+ Years***
* 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.
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.
Thanks & Regards,
Sr. Machine Learning Engineer, Generative AI Applications – 12+ Months- C2C- Remote
ADDITIONAL INFORMATION
All your information will be kept confidential according to EEO guidelines.
Company: Tms Llc
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Tagged as: data scientist