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Remote Python Django Developer Jobs in New Jersey

AI Native Developer

Whippany, NJ ยท On-site +1

$48 - $53/hr

Whippany, NJ (hybrid remote) Duration: 6 months An AI-Native Developer (or AI-Native Engineer ... High proficiency in Python and TypeScript/JavaScript (React, Next.js, Node.js). * AI Frameworks ...

AI Native Developer

Whippany, NJ ยท On-site +1

$48 - $53/hr

Whippany, NJ (hybrid remote) Duration: 6 months An AI-Native Developer (or AI-Native Engineer ... High proficiency in Python and TypeScript/JavaScript (React, Next.js, Node.js). * AI Frameworks ...

Job Role - AI/ML Engineer Location - Secaucus, NJ (Remote) Job Type: Contract Key Responsibilities ... Engage in full-stack development, with a focus on Python for backend services and React for ...

Puppet Developer Job Location: Remote Position Job Type: Contract (18 months) Rate: Negotiable ... Python, Jenkins, Chef, or Ansible. * Hands on experience with version control systems. * Good ...

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

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Showing results 1-20

Remote Python Django Developer information

See New Jersey salary details

$23.4K

$116.9K

$405.6K

How much do remote python django developer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote python django developer in New Jersey is $116,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $161,400.00 per year, depending on experience, location, and employer.

What does a typical workday look like for a Remote Python Django Developer?

As a Remote Python Django Developer, your typical day involves participating in virtual stand-ups, collaborating with team members through chat and video calls, and writing or reviewing code to implement new features or fix bugs. You will often work with project management tools like Jira or Trello to track your tasks and communicate progress. Regularly, you'll interact with front-end developers, UX/UI designers, and QA testers to ensure seamless integration and a robust end product. Balancing independent problem-solving with cross-functional teamwork is key to succeeding in this remote role.

What are the key skills and qualifications needed to thrive in the Remote Python Django Developer position, and why are they important?

A Remote Python Django Developer should have strong proficiency in Python, Django, RESTful APIs, and a solid understanding of relational databases, with a degree in computer science or equivalent experience often required. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and knowledge of containerization tools like Docker are commonly sought after, while Django certifications can be advantageous. Excellent communication, problem-solving ability, and self-motivation are valuable soft skills, enabling effective remote collaboration and project management. These skills ensure the developer can efficiently build and maintain scalable web applications while navigating the challenges of a distributed work environment.

What is a Remote Python Django Developer job?

A Remote Python Django Developer job involves designing, developing, and maintaining web applications using Python and the Django framework while working from a remote location. Developers are responsible for writing clean, efficient code, troubleshooting issues, and collaborating with teams using online tools. They may also integrate APIs, optimize database performance, and ensure security best practices. This role requires strong Python and Django skills, along with experience in front-end technologies, databases, and version control systems like Git.

What are the most commonly searched types of Python Django Developer jobs in New Jersey? The most popular types of Python Django Developer jobs in New Jersey are:
What are popular job titles related to Remote Python Django Developer jobs in New Jersey? For Remote Python Django Developer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Python Django Developer jobs in New Jersey look for? The top searched job categories for Remote Python Django Developer jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Python Django Developer jobs? Cities in New Jersey with the most Remote Python Django Developer job openings:
Machine Learning Operations Engineer - Remote

Machine Learning Operations Engineer - Remote

NAVA Software Solutions

Jersey City, NJ โ€ข On-site, Remote

$76K - $102K/yr

Full-time

Posted 13 days ago


Job description

NAVA Software solutions is looking for a Machine Learning Operations Engineer
Details:
Machine Learning Operations (MLOps) Engineer - AWS (with LLM Focus)
Location: Remote work
Duration: 12 months

Responsibilities:
  • LLM-Optimized MLOps Infrastructure: Design and implement MLOps infrastructure on AWS tailored for LLMs, leveraging services like SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and more.
  • LLM Deployment Pipelines: Build and manage CI/CD pipelines specifically for LLM deployment, addressing unique challenges like model size, inference optimization, and versioning.
  • LLMOps Practices: Implement LLMOps best practices for monitoring model performance, drift detection, prompt management, and feedback loops for continuous improvement.
  • RESTful API Development: Design and develop RESTful APIs to expose LLM capabilities to other applications and services, ensuring scalability, security, and optimal performance.
  • Model Optimization: Apply techniques like quantization, distillation, and pruning to optimize LLM models for efficient inference on AWS infrastructure.
  • Monitoring and Observability: Establish comprehensive monitoring and alerting mechanisms to track LLM performance, latency, resource utilization, and potential biases.
  • Prompt Engineering and Management: Develop strategies for prompt engineering and management to enhance LLM outputs and ensure consistency and safety.
  • Collaboration: Work closely with data scientists, researchers, and software engineers to integrate LLM models into production systems effectively.
  • Cost Optimization: Continuously optimize LLMOps processes and infrastructure for cost-efficiency while maintaining high performance and reliability.

Qualifications:
  • Experience: 3+ years of experience in MLOps or a related field, with hands-on experience in deploying and managing LLMs.
  • AWS Expertise: Strong proficiency in AWS services relevant to MLOps and LLMs, including SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and API Gateway.
  • LLM Knowledge: Deep understanding of LLM architectures (e.g., Transformers), training techniques, and inference optimization strategies.
  • Programming Skills: Proficiency in Python and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), REST API frameworks (e.g., Flask, FastAPI), and LLM libraries (e.g., Hugging Face Transformers).
  • Monitoring: Familiarity with monitoring and logging tools for LLMs, such as Prometheus, Grafana, and CloudWatch.
  • Containerization: Experience with Docker and container orchestration (e.g., Kubernetes, ECS) for LLM deployment.
  • Problem Solving: Excellent problem-solving and troubleshooting skills in the context of LLMs and MLOps.
  • Communication: Strong communication and collaboration skills to effectively work with cross-functional teams

NAVA Software Solutions logo

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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