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AI/ML/Python

TEKsystems

Posted Tuesday, April 8, 2025

Posting ID: JP-005195163

Plano, TX
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Description

Mandatory Skills: Python, GenAI, Redis Vector DB Preferred Skills: NLP , AI/ML , LLM, Nvidia Triton is a plus • Architect and implement Al solutions utilizing cutting-edge technologies like LLM, llamaindex, and model inference. • AIML solution development in using Python but model inferencing, not going to be a pure data scientist to develop/test and train models • Ability to build and finetune the model to improve the performance • Create own technology if off-the-shelf technology is not solving the problem. E.g changes to traditional RAG approaches, finetune LLM, create architectures. • Use experience and advise leadership and team of data scientists’ best approaches, architectures for complex ML use cases. • Lead from the front, responsible for coding, designing, and ensuring best practices & frameworks are adhered by the team. • Create end to end AI systems with responsible AI principles • Develop data pipelines using SQL to extract and transform data from Redis & any vector database for Al model training and inference. • Structured data use with LLMs. • Possess expertise in Natural Language Processing (NLP) & GenAI to integrate text-based data sources into the Al architecture. • Collaborate with data scientists and engineers to ensure seamless integration of Al components into existing systems. • Responsible for continuous communication about the team progress to keystakeholder

Skills

AI, ML, python, NLP

Top Skills Details

AI,ML,python,NLP

Additional Skills & Qualifications

AI/ML

Experience Level

Expert Level

Compensation:$80

Contact Information

Recruiter: James Haarstick

Phone: +17043574480

Email: jhaarsti@teksystems.com

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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