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Contractual Remote Python Django Developer Jobs in New Jersey

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product ... Experience with modern programming languages such as Java, Python, or similar backend technologies.

Resource Innovations

Energy Engineer

Jersey City, NJ · On-site +1

This position may be remote, with a preferred location in Illinois, Iowa, Massachusetts, New Jersey ... tool development using Python. * Review retro-commissioning and building tune-up project ...

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Contractual Remote Python Django Developer information

What is the difference between Contractual Remote Python Django Developer vs Contractual Remote Java Spring Developer?

AspectContractual Remote Python Django DeveloperContractual Remote Java Spring Developer
Required CredentialsPython, Django, REST APIs, SQLJava, Spring Framework, REST APIs, SQL
Work EnvironmentRemote, Agile teams, startups or tech companiesRemote, enterprise or tech firms, Agile or traditional teams
Industry UsageWeb development, SaaS, startupsEnterprise applications, banking, finance, web services
Search & Comparison IntentYesYes

The main difference between a Contractual Remote Python Django Developer and a Contractual Remote Java Spring Developer lies in the programming language and frameworks used. Python Django developers focus on Python-based web applications, while Java Spring developers work with Java-based enterprise solutions. Both roles require similar remote work environments and are in high demand across tech industries, but they serve different technical stacks and project types.

Is Contractual Remote Python Django Developer in demand in 2026?

Contractual remote Python Django developers are expected to remain in demand in 2026 due to the continued growth of web applications and backend development. Skills in Django, Python, and related frameworks, along with experience in cloud deployment and REST APIs, enhance employability in remote roles. The demand is driven by companies seeking flexible, scalable development solutions.

Is Contractual Remote Python Django Developer in demand?

Contractual remote Python Django developers are in high demand due to the widespread use of Django for web development and the need for flexible, remote software engineering roles. Skills in Python, Django, and related frameworks increase employability, especially in companies seeking scalable and efficient web solutions.

What are the most commonly searched types of Remote Python Django Developer jobs in New Jersey?

The most popular types of Remote Python Django Developer jobs in New Jersey are:

What cities in New Jersey are hiring for Contractual Remote Python Django Developer jobs?

Cities in New Jersey with the most Contractual Remote Python Django Developer job openings:

Contractual Remote Python Django Developer jobs near you
Infographic showing various Contractual Remote Python Django Developer job openings in New Jersey as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

AI Solutions Architect - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$69 - $90.75/hr

Full-time

Re-posted 6 days ago

Job description

NAVA Software solutions is looking for a AI Solutions Architect
Details:
AI Solution Architect - Insurance Domain (Azure & AWS)
Location: Remote
Duration: 12 months
Role Overview
As an AI Solution Architect specializing in Azure and AWS, you will lead the design, development, and production deployment of large-scale AI/ML solutions tailored for the insurance industry. You will work closely with cross-functional teams including data scientists, engineers, actuaries, and business leaders to transform business strategy into secure, scalable, and cost-effective AI architectures.
Key Responsibilities
AI Strategy & Use Case Development
  • Identify and prioritize AI/ML use cases across the insurance value chain: Underwriting, pricing, claims fraud detection, customer segmentation, policy recommendation engines, and chatbots.
  • Partner with business stakeholders (e.g., actuaries, underwriters, claims analysts) to define impactful AI-driven solutions that enhance decision-making and operational efficiency.
Architecture & Design
  • Design resilient, scalable, and cloud-agnostic AI/ML architectures using Azure and AWS.
  • Build and manage data ingestion and transformation pipelines using Azure Data Factory and AWS Glue.
  • Define and implement MLOps workflows using Azure ML Pipelines, AWS SageMaker Pipelines, and MLflow.
Technical Leadership
  • Lead design reviews, technical workshops, and blueprint sessions.
  • Mentor engineers and data scientists in best practices for model development, deployment, and cloud-native AI.
Solution Development
  • Implement NLP, computer vision, and deep learning solutions using Azure Cognitive Services, AWS Comprehend, Rekognition, and Bedrock.
  • Develop microservices/APIs (Python, FastAPI) for real-time inference and batch scoring.
  • Work with frameworks like TensorFlow, PyTorch, and Scikit-learn.
Integration with Insurance Systems
  • Ensure seamless integration with core insurance platforms: Policy Administration, Claims Management, Billing, CRM (e.g., Guidewire, Duck Creek, Salesforce).
  • Collaborate with enterprise architects to align AI with broader IT modernization initiatives.

Deployment & Operations
  • Containerize models using Docker, deploy via Kubernetes (AKS/EKS).
  • Implement CI/CD automation (Azure DevOps, AWS CodePipeline) and observability (CloudWatch, Prometheus, Azure Monitor).
Governance & Security
  • Enforce cloud security and data compliance using IAM, VNet, KMS, and encryption protocols.
  • Leverage Azure Responsible AI and AWS SageMaker Clarify for explainability, fairness, and auditability.
Stakeholder Engagement
  • Present technical architectures and value propositions to C-level executives, claims directors, and underwriting heads.
  • Serve as the bridge between business needs and AI/ML capabilities.
Required Qualifications
Experience:
  • 8-10 years in AI/ML and software/system architecture.
  • 5+ years in solution/technical leadership roles.

Education:
  • Bachelor's in Computer Science, Data Science, or Engineering.
  • Master's or PhD in AI/ML preferred.

Cloud Expertise:
  • Azure: Azure ML, Cognitive Services, Data Factory, Databricks, Cosmos DB
  • AWS: SageMaker, Comprehend, Rekognition, Glue, Redshift, DynamoDB

Tools & Frameworks:
  • Languages: Python (mandatory), Java or C++
  • ML Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Big Data & Streaming: Spark, Kafka, Hadoop
  • MLOps/DevOps: Kubernetes (AKS/EKS), Docker, MLflow, Kubeflow, CI/CD pipelines
Preferred Qualifications
  • Certifications: Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty
  • Advanced AI Expertise: Generative AI (Azure OpenAI, ChatGPT, AWS Bedrock), Prompt Engineering, Agentic AI
  • Community & Research: Contributions to open-source projects or AI/ML publications
  • Soft Skills: Strong communication, stakeholder management, and strategic thinking. Team leadership and mentoring
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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