Gen AI Python Developer

Matlen Silver

Jersey City, NJ, United States

19 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Compensation

$124,800.0 - $135,200.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Adobe InDesign Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Unit Testing Software Quality Continuous Delivery Continuous Integration DevOps Python (Programming Language) MongoDB Performance Tuning

+18 more

Redis Ansible Software Engineering SonarQube Jupyter Notebook ReactJS Git Fastapi Pytest Containerization AngularJS Kubernetes Bitbucket Machine Learning Operations Api Gateway Software Version Control Jenkins Artifactory

Job description

Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements.
Utilizes multiple architectural components (across data, application, business) in design and development of client requirements.
Performs Continuous Integration and Continuous Development (CI-CD) activities.
Contributes to story refinement and definition of requirements.
Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle, * Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements.
Utilizes multiple architectural components (across data, application, business) in design and development of client requirements.
Performs Continuous Integration and Continuous Development (CI-CD) activities.
Contributes to story refinement and definition of requirements.
Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.
Experience developing RAG, MCP modules

Requirements

Expert Python development skills
Hands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization.
Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem
Hands on experience building frameworks using MLFlow, KubeFlow, Fine - Tuning techniques, Inference Frameworks
Building API based application leveraging FAST API services, JWT Integration, API Gateway
Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing
Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible), * Expert Python development skills
Hands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization.
Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem. Hands on experience building frameworks using MLFlow, KubeFlow, Fine - Tuning techniques, Inference Frameworks
Building API based application leveraging FAST API services, JWT Integration, API Gateway
Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing
Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible)