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Remote Computer Science Fresher Jobs in Newark, NJ

Astra

Staff Backend Engineer

New York, NY · On-site +1

$210K - $260K/yr

Bachelor's degree in Computer Science, Engineering, or related field required * Master's degree in ... Remote-first culture with flexible working arrangements * Small team, big impact - your work ...

Astra

Senior Backend Engineer

New York, NY · On-site +1

$190K - $230K/yr

Bachelor's degree in Computer Science, Engineering, or related field required * Master's degree in ... Remote-first culture with flexible working arrangements * Small team, big impact - your work ...

Xforia, Inc.

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone ... Bachelor's degree or higher in computer science, data science, or a related field * Hands-on ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

... Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications: Bachelor's degree in computer science, Engineering ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

... Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications: Bachelor's degree in computer science, Engineering ...

Lorven Technologies

QA ETL Lead - Remote

Manhattan, NY · On-site +1

Remote Duration: Full Time Summary We are looking for a QA Lead who is proficient in ETL/ Data ... Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or ...

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Remote Computer Science Fresher information

How do remote computer science freshers typically collaborate with their teams despite working from different locations?

As a Remote Computer Science Fresher, you'll often use a variety of digital tools—such as Slack, Microsoft Teams, or Zoom—to communicate with your colleagues and participate in team meetings. Project management platforms like Jira or Trello are commonly used to track tasks and progress. Regular check-ins, code reviews, and pair programming sessions help foster teamwork and provide learning opportunities. While remote work requires some adjustment, strong communication skills and proactive engagement will help you build relationships and contribute effectively to your team.

What skills and qualifications are needed to thrive as a remote computer science fresher?

To thrive as a Remote Computer Science Fresher, you typically need a solid understanding of programming fundamentals, algorithms, and problem-solving, with a relevant degree or coursework in computer science. Familiarity with coding platforms (like GitHub), collaboration tools (such as Slack or Zoom), and basic knowledge of software development environments is often expected. Strong self-motivation, effective communication, and time management are crucial soft skills for remote work success. These skills and qualities are vital for delivering quality work, staying connected with remote teams, and adapting to the fast-evolving tech landscape.

What is a remote computer science fresher?

Remote Computer Science Freshers are recent graduates or entry-level professionals who have a background in computer science and work remotely, often from home or another location outside a traditional office. They typically perform tasks such as software development, testing, debugging, or basic IT support under supervision. These roles allow freshers to gain industry experience while enjoying the flexibility that remote work offers. Companies hire remote computer science freshers to tap into a wider talent pool and reduce overhead costs. This arrangement is becoming increasingly popular due to advances in collaboration technologies and the global shift towards remote work.

What is the difference between Remote Computer Science Fresher vs Remote Software Developer?

AspectRemote Computer Science FresherRemote Software Developer
QualificationsBachelor's in Computer Science or related fieldBachelor's or higher in Computer Science or Software Engineering
ExperienceEntry-level, little to no professional experienceTypically 1+ years of coding and development experience
Work EnvironmentRemote, often internship or trainee rolesRemote or hybrid, full-time development roles
Industry UsageCommon for freshers entering tech companies or startupsCommon for companies seeking experienced developers

Remote Computer Science Freshers are usually recent graduates starting with entry-level roles, focusing on learning and skill development. Remote Software Developers generally have some experience and work on building and maintaining software projects. While both roles can be remote, the Software Developer role typically requires more technical expertise and experience.

What are popular job titles related to Remote Computer Science Fresher jobs in Newark, NJ?

For Remote Computer Science Fresher jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Fresher jobs in Newark, NJ look for?

The top searched job categories for Remote Computer Science Fresher jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Remote Computer Science Fresher jobs?

Cities near Newark, NJ with the most Remote Computer Science Fresher job openings:

Remote Computer Science Fresher jobs near you

AI Solutions Architect - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$69 - $90.75/hr

Full-time

Re-posted 15 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

Social media

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