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AI Staff Security Engineer

Randstad Digital

Remote or Richardson, Texas, USA

Contract

job summary: Lead the development and integration if AL/ML models and automated testing frameworks across both modern and legacy tech stacks.Adopt the design, development, and optimization of AI/ML models for a variety of security use cases.Perform model training, evaluation, and fine-tuning while considering the constraints and opportunities posed by legacy architectures.Partner with teams and serve as cross-functional expert to provide bench-marked solutions to multiple, complex technical proj

AI Developer

Commercial Programming Systems, Inc.

Remote or Los Angeles, California, USA

Contract

AI Developer Remote work with the possibility of occasional Los Angeles meetings .The durationofthe engagement is at least 12 months. This is a remote position; however, they may have to travel on-site or to other courts or conferences on rare occasions. The person we contract with should be someone we can hire permanently within 12 monthsofthem coming on board. W2 candidates only. Project Overview:The clientis undertaking innovative projects aimed at integrating generative AI and AI-driven docu

Data Scientist / Machine Learning Engineer/LLM

CloudBCLabs

Remote or Reston, Virginia, USA

Full-time

Job Title: Data Scientist / Machine Learning Engineer/LLM Location: Reston, VA (Remote) Duration: Long term Job Type : FTE/W2 (Any Visa) Key Responsibilities: Develop and deploy machine learning models using LLMs, NLP, and General AI techniques.Utilize Langchain / llamaindex for advanced language processing tasks.Implement solutions using Python, Vector DBs, and data analysis tools such as Jupyter Notebook, AWS SageMaker, and Scikit-learn.Containerize applications using Docker and manage depend

Senior Data Scientist (Gen AI/ LLM)

CloudBCLabs

Remote or Reston, Virginia, USA

Full-time

Role: Senior Data Scientist (Gen AI/ LLM) Location: Reston, VA Duration: Long term Job Description Client is looking LLM Data Scientist with very strong Generative AI experience.Experience building Vector DB, NLP, LLM and GenAI tools. Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred. 1+ year of experience specifically with deep learning (e.g., CNN, RNN, LSTM) 1+ year of experience building NLP, LLM and GenAI tools. Experience with LoRA, LangChain, RAG, LLM Fine Tunin

DevOps Engineer/Lead

Net2Source Inc.

No location provided

Contract

Net 2 Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap Right Talent Right Time Right Place Right Price and acting as a Career Coach to our consultants. Title: DevOps Engineer/Lead Location: Vancouver,

Medical Imaging - Deep Learning

APN Software Services, Inc

Toronto, Ontario, Canada

Contract

They want mid level. Around $50-$55 CAD an hour C2C pay rate. Toronto / Mississauga Canada are preferred. They can be remote as well. But only need people from CANADA Implements or modifies existing algorithms to analyze histopathology images and data. Masters Degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field. Or Ph.D. Hands-on experience with algorithm development for image or data analysis algorithms. Experience in the design and development of

Data Scientist AI/ML

InfoVision, Inc.

Irving, Texas, USA

Third Party, Contract

Job Title: Data Scientist AI/ML Job Duration: 12 month Job location: Irving, TX Responsibilities: Develop new AI/ML models with little to no supervision off of data acquired directly from business partners;Mentor other team members and data analytical groups;Take the lead in developing innovative advanced analytical solutions for complex application problems;Position requires the development of advanced graphic visualization concepts to map and simplify the analysis of heavily-numeric data and