application programmer.

job summary:
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

 
location: Charlotte, North Carolina
job type: Contract
salary: $55.06 - 65.06 per hour
work hours: 8am to 5pm
education: Bachelors
 
responsibilities:
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

 
qualifications:
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:

• Good understanding of the E2E process of the application
• Good understanding of all aspects of the application like upstream, database model, data processing and data distribution layers
• Payments or Banking background
• Ability to learn quickly and adapt to team environment.
• Experience working in Agile or Waterfall methodology and understanding of various phases of the Software.
• Development Life Cycle
• Proficient in Unix Shell Scripting and Autosys

What top 3 skillsets does this person need to have?

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



Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.