Full Stack Engineer - AI (Remote)

Cognisol; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

Cognisol is seeking a Full Stack Engineer Lead specializing in Artificial Intelligence. The role focuses on developing AI solutions using Python and Azure services for a healthcare client. Ideal candidates will have strong engineering backgrounds and experience in deploying AI models. This is a remote contract position requiring collaboration with business stakeholders and a passion for technology.

Qualifications

• Must have recent experience with Azure in current job.
• Candidates should have a strong AI engineering background.
• Good understanding of measuring Client model performance.

Responsibilities

• Develop AI solutions with Python and Azure services.
• Work closely with business stakeholders in an early incubation pod.
• Collaborate with team members to deploy AI models into production.

Skills

Python

Azure

MongoDB

React

Knowledge Mining

AI Services

Education

Good educational background

Tools

Azure Machine Learning Studio

Cognitive Search

OpenAI/ChatGPT3+

Text Analytics

Job description

This range is provided by Cognisol. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80.00/hr - $85.00/hr

Job Title :Artificial Intelligence/ Full Stack Engineer Lead (Remote)

client : Confidential

Client location - Remote

Job Type : Contract

Pharma or healthcare client experience is must have in the recent project

Job Description

Mandatory Skills:

Python

Language Model (OpenAI is primary)

Prompting

Azure – AI Services, Document Intelligence, Azure OpenAI, AI Search

Backend – not a ton of front-end

MongoDB

Some GenAI experience would be good

Applied AI—not Data Scientists—people that have deployed into production

These candidates need to have strong AI engineering background using Python and have applied understanding of using Machine Learning / Data Science without disruption over the past 5 years.

Good understanding of how to measure Client model performance (precision/recall). Azure is a must.

Ideal candidates have experience with some or all - Azure Machine Learning studio, Cognitive Search, OpenAI/ChatGPT3+, Text Analytics / Text Analytics for Health, BERT, document page classification, knowledge mining, Client pipelines

They should have some sort of Cognitive Services, ideally Azure Cognitive Services (if they don’t have experience with Azure Cognitive Services, they should still have experience with Azure).

The more full-stack skills this person has the better.

They should be good with Python and ideally React as there will be some UI Development in React.

If they can’t find these skills all in one person, then they will need the incubation team as a whole to have both AI Engineer and Front End skills with experience in Azure.

People need to be independent and have soft skills which can work closely with business stakeholders as this is an early incubation pod.

Things The Manager Looks For In Resumes/candidates

Recent experience in required skills (Azure should be in current job)

Not really looking for Data Scientists; these will be Developer/Programmers/Engineer where Python is their primary Programming skills

Good educational background (must have education on resume)

People that are great team members, strong motivation, and people that show up with a genuine smile because they love technology

Skills: knowledge mining,azure openai,azure machine learning studio,document page classification,mongodb,cognitive search,azure cognitive services,azure,openai/chatgpt3+,data scientist,text analytics,react,azure – ai services,ai search,text analytics for health,bert,client pipelines,cognitive services,genai,document intelligence,prompting,language model (openai),applied ai,backend development,python

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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