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Remote Flask Developer Jobs in New Jersey (NOW HIRING)

Job Title: Software Engineer, Full Stack Location: Remote Division: Technology Department ... Backend experience in Python, including building REST APIs with FastAPI, Flask, Django REST ...

Associate Dir, Full Stack Data Scientist

Whippany, NJ ยท On-site +1

$59K - $59K/yr

Remote work arrangements will not be accommodated for this role. YOUR TASKS AND RESPONSIBILITIES ... Collaborate with data scientists, ML engineers, and domain experts to translate research prototypes ...

Associate Dir, Full Stack Data Scientist

Whippany, NJ ยท On-site +1

$59K - $59K/yr

Remote work arrangements will not be accommodated for this role.YOUR TASKS AND RESPONSIBILITIES ... Collaborate with data scientists, ML engineers, and domain experts to translate research prototypes ...

Remote Flask Developer information

What is a remote Flask developer?

A Remote Flask Developer is a software developer who works remotely to build and maintain web applications using the Flask framework in Python. Responsibilities typically include designing APIs, integrating databases, troubleshooting issues, and optimizing performance. They collaborate with teams using remote communication tools and may work as freelancers or full-time employees for companies worldwide.

What are some typical challenges faced by remote Flask developers?

Remote Flask Developers often face challenges such as coordinating effectively with team members across different time zones and ensuring clear communication in a fully virtual environment. Managing project deadlines and maintaining code quality without in-person oversight can also be demanding. To overcome these challenges, it helps to establish consistent workflows, participate in regular virtual stand-ups, and use collaborative tools like Slack, Jira, or GitHub. Successfully navigating these hurdles leads to smoother project delivery and greater overall job satisfaction.

What are the key skills and qualifications needed to thrive as a remote Flask developer?

To thrive as a Remote Flask Developer, you need strong Python programming skills, expertise in Flask web framework, RESTful API design, and a solid understanding of databases. Familiarity with version control systems like Git, cloud platforms (such as AWS or Azure), and experience using Docker are often expected, while certifications in Python or cloud technologies are advantageous. Excellent communication, self-motivation, and time management are key soft skills for succeeding in a remote environment. These abilities are essential to building robust applications, efficiently collaborating with distributed teams, and meeting project goals from a remote setting.

What job categories do people searching Remote Flask Developer jobs in New Jersey look for? The top searched job categories for Remote Flask Developer jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Flask Developer jobs? Cities in New Jersey with the most Remote Flask Developer job openings:
Infographic showing various Remote Flask Developer job openings in New Jersey as of July 2026, with employment types broken down into 87% Full Time, 2% Part Time, 1% Temporary, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Machine Learning Operations Engineer - Remote

NAVA Software Solutions

Jersey City, NJ โ€ข On-site, Remote

$76K - $102K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


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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