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Jr Java Developer

Jersey City,NJ

2125 Jr Java Developer jobs in Jersey City,NJ

New, Posted 1 day ago
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Junior Sales Associate

Globe Life - Moore Organization

Brooklyn, NY 11226

Remote

  • Candidates must be based in New York to be considered
  • Strong communication skills and a willingness to learn
  • A proactive, team-oriented mindset
  • Interest in developing a long-term career in sales
SmartExplore AI is experimental.
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New, Posted 8 hours ago
OTR CDL-A Reefer Truck Driver Job - (Earn $0.55 - $0.66 CPM!)

J&R Schugel Trucking

Jersey City, NJ

$2,500 bonus
OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Valid CDL-A
  • Minimum age: 21
  • 12 months of recent OTR or regional CDL-A experience (within the last 3 years)
  • Refrigerated experience
  • Safe driving record
  • Stable work history
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Junior Sales Associate

Globe Life - Moore - Sodan Agency

Jersey City, NJ

Remote

  • No prior sales experience is required—we provide comprehensive training and ongoing support.
  • Candidates must be based in New Jersey to be considered.
SmartExplore AI is experimental.
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New, Posted 8 hours ago
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VP of Engineering Fintech

Confidential

New York, NY 10001

~ 25 min OnsiteUrgently Hiring

  • Vice President of Engineering
  • Over 10 years of experience leading commercial software development teams
  • Experience scaling fintech organizations with customer-focused products
  • Strong technical skills, preferably in Java, React, or Scala
  • Extensive experience in designing and operating large-scale, real-time systems
  • Based in New York City
SmartExplore AI is experimental.
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New, Posted just now
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Android Developer - AI Trainer

DataAnnotation

Lyndhurst, NJ 07071

Flexible ScheduleBilingual Preferred
New, Posted 8 hours ago
Poached Jobs
NYC Sales Lead

Kissy Worldwide

New York, NY 10013

New, Posted 8 hours ago
DiversityJobs
Associate Director, DevOps and S4 Public Cloud Infrastructure Lead

KPMG

Short Hills, NJ 07078

New, Posted 8 hours ago
Culinary Agents
Junior Sous Chef

Sofia - Englewood

Englewood, NJ 07631

Flexible Schedule
Recommended
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Principal Quant Developer (MLOps)

Fidelity Investments

Jersey City, NJ 07305

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
  • Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
  • This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
  • Expert in Python with experience across the development stack (full stack)
  • Exposure to object-oriented programming (OOP) and design patterns
  • Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
  • A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
  • Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
  • Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
  • Proven ability to construct and manage robust data pipelines and event-driven workflows
  • Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
  • Experience in containerization with Docker and orchestration with Kubernetes
  • Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
  • Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
  • Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
  • Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
  • Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
  • Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
  • Awareness of responsible AI governance practices
  • Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
  • Demonstrated knowledge of mathematics, statistics, and quantitative finance
  • Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
  • Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
  • Domain knowledge in either equities, fixed income or alternative asset classes
  • Progress towards CFA (or equivalent) a plus
SmartExplore AI is experimental.
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New, Posted 8 hours ago
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Application Programmer III

Experis

Jersey City, NJ 07302

OnsiteHealth InsuranceRetirement Benefit

  • 7+ years of experience in Java application development, including Java 11+ features such as multi-threading, collections, and functional programming.
  • Proficiency in modern frameworks like Spring, Spring Boot, and JPA/Hibernate.
  • Strong understanding of database design, SQL, query tuning, and optimization.
  • Experience with frontend UI technologies such as HTML5, AngularJS, Backbone.js, and Bootstrap within Agile environments.
  • Knowledge of Big Data ecosystems like Apache Spark, Hadoop, and cloud computing architectures.
SmartExplore AI is experimental.
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