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Remote Machine Learning Quant Jobs in New Jersey

The Campbell?s Company

Data Scientist

Camden, NJ ยท On-site +1

$109K - $157K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Friday remote; Tuesday Thursday in-office)10 15% travel for company and customer ...

Varsity Tutors

Statistics Graduate Level Tutor

Clifton, NJ ยท Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

Statistics Graduate Level Tutor

Summit, NJ ยท Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

Statistics Graduate Level Tutor

Trenton, NJ ยท Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

Statistics Graduate Level Tutor

Paramus, NJ ยท Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

Statistics Graduate Level Tutor

Hoboken, NJ ยท Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

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Remote Machine Learning Quant information

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are the most commonly searched types of Machine Learning Quant jobs in New Jersey? The most popular types of Machine Learning Quant jobs in New Jersey are:
What are popular job titles related to Remote Machine Learning Quant jobs in New Jersey? For Remote Machine Learning Quant jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Quant jobs in New Jersey look for? The top searched job categories for Remote Machine Learning Quant jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Machine Learning Quant jobs? Cities in New Jersey with the most Remote Machine Learning Quant job openings:
Remote Machine Learning Quant jobs near you
AI Solutions Architect - Remote

AI Solutions Architect - Remote

NAVA Software Solutions

Jersey City, NJ โ€ข 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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