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Junior Ai Developer Jobs in Rutherford, NJ (NOW HIRING)

Infinitive Inc

Junior AI/ML Engineer

Manhattan, NY · On-site

Role Overview As a Junior AI/MLOps Engineer, you will sit at the intersection of Data Science and Software Engineering. Your mission is to help us build, deploy, and monitor the automated pipelines ...

Infinitive

Junior AI/ML Engineer

Manhattan, NY · On-site

Role Overview As a Junior AI/MLOps Engineer, you will sit at the intersection of Data Science and Software Engineering. Your mission is to help us build, deploy, and monitor the automated pipelines ...

Photon

Agentic AI FDE| USA | FTE Only

Berkeley Heights, NJ

$57.75 - $74.25/hr

Provide technical leadership and mentorship to junior AI engineers and researchers. * Innovation & Research: Stay abreast of the latest advancements in AI research and actively explore new techniques ...

Photon

Agentic AI FDE | USA | FTE Only

Berkeley Heights, NJ · On-site

$57.75 - $74.25/hr

Provide technical leadership and mentorship to junior AI engineers and researchers. * Innovation & Research: Stay abreast of the latest advancements in AI research and actively explore new techniques ...

Samprasoft

Jr. Java Developer

Jersey City, NJ

... AI/ML algorithms. We'd be interested in a Sr. Lead Developer and a Jr. Developer who could work ... together. Required Skills Degree in engineering, information systems or related Extensive ...

Junior

Lead Applied AI Engineer

New York, NY · On-site

$112K - $147K/yr

About Junior We're building cutting-edge LLM-powered tools that supercharge investment research for ... Shape our engineering culture We're live with >20 enterprise clients, and already have 10s of ...

Kaav Inc.

Jr. Java Developer

Jersey City, NJ

... AI/ML algorithms. We'd be interested in a Sr. Lead Developer and a Jr. Developer who could work ... together. Required Skills - Degree in engineering, information systems or related Extensive ...

Pivotal Solutions

Senior AI Engineer

Manhattan, NY · On-site

$115K - $158K/yr

As a Senior AI Engineer, you will be a key player in the design, development, and implementation of ... Mentor and guide junior team members. Requirements Qualifications: A minimum of 5 years of ...

TWG Global AI

Senior Engineer, AI Engineering

New York, NY · On-site

$190K - $200K/yr

Mentor junior engineers and support peer learning Requirements Qualifications: * 4+ years experience developing and deploying AI-powered systems, including agent-based workflows, tool orchestration ...

Junior

Backend Engineer

New York, NY · On-site

This is a systems-level role - ideal for engineers who love thinking about data flows ... Junior, we'd love to hear from you! Email us at careers@myjunior.ai with your resume and a brief ...

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All JobsJunior Ai Developer JobsJunior Ai Developer Jobs in Rutherford, NJ

Junior Ai Developer information

See Rutherford, NJ salary details

$24.5K

$90.7K

$140.2K

How much do junior ai developer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for junior ai developer in Rutherford, NJ is $90,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $88,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Junior Ai Developer position, and why are they important?

To thrive as a Junior AI Developer, you need a solid understanding of programming languages such as Python or Java, fundamental knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and version control systems such as Git are commonly expected, and certifications in AI or data science are advantageous. Strong problem-solving abilities, attention to detail, eagerness to learn, and effective teamwork and communication skills help set candidates apart. These skills are vital for building, testing, and improving AI models while collaborating productively within dynamic development teams.

What is a Junior AI Developer job?

A Junior AI Developer is an entry-level role focused on assisting in the development, testing, and deployment of AI models and applications. Responsibilities typically include data preprocessing, writing code for machine learning algorithms, optimizing models, and integrating AI solutions into products. They work closely with senior developers and data scientists to gain experience in AI frameworks, programming languages like Python, and cloud-based AI services.

What are some typical day-to-day tasks for a Junior AI Developer?

As a Junior AI Developer, your daily tasks may include coding machine learning algorithms, prepping and cleaning datasets, assisting with running experiments, and documenting your work for team review. You'll likely collaborate closely with data scientists, senior developers, and project managers to ensure seamless integration of AI solutions into applications. Regular responsibilities also include participating in team meetings, troubleshooting bugs, and continuously learning about emerging AI trends and best practices. This hands-on experience helps deepen your technical skills, and working with experienced colleagues offers valuable mentorship and growth opportunities.

What are the most commonly searched types of Ai Developer jobs in Rutherford, NJ? The most popular types of Ai Developer jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Junior Ai Developer jobs? Cities near Rutherford, NJ with the most Junior Ai Developer job openings:
Junior Ai Developer jobs near you
Infographic showing various Junior Ai Developer job openings in Rutherford, NJ as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,705 per year, or $43.6 per hour.

Junior AI/ML Engineer

Infinitive Inc

Manhattan, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About Infinitive
Infinitive is a data and AI consultancy that enables its clients to modernize and operationalize their data to create lasting and substantial value. We bring deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable measurable value.
Infinitive has been named Best Small Firms to Work For by Consulting Magazine 8 times, most recently in 2025. Infinitive has also been named a Washington Post Top Workplace, Washington Business Journal Best Places to Work, and Virginia Business Best Places to Work.
 Role Overview

As a Junior AI/MLOps Engineer, you will sit at the intersection of Data Science and Software Engineering. Your mission is to help us build, deploy, and monitor the automated pipelines that keep our machine learning models running smoothly in production. You aren't just building models; you’re building the "factory" that produces them.

Key Responsibilities

  • Pipeline Automation: Assist in building and maintaining CI/CD pipelines specifically for machine learning (CT - Continuous Training).

  • Model Deployment: Package ML models into reproducible environments using Docker and deploy them via REST APIs or batch processing.

  • Monitoring & Logging: Help set up dashboards to track model performance, data drift, and system health.

  • Infrastructure as Code: Work with senior engineers to manage cloud resources (AWS/GCP/Azure) using tools like Terraform or CloudFormation.

  • Collaboration: Bridge the gap between Data Scientists (who build the models) and Software Engineers (who build the product) to ensure seamless integration.

Required Skills & Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related technical field.

  • Programming: Proficiency in Python (specifically libraries like Pandas, NumPy, and Scikit-learn).

  • Foundational ML: A strong understanding of the ML lifecycle—from data preprocessing and feature engineering to evaluation metrics.

  • Containerization: Familiarity with Docker and the concept of containerized applications.

  • Version Control: Strong command of Git (branching, merging, and Pull Requests).

Preferred (Bonus) Skills

  • Experience with MLOps tools like MLflow, Kubeflow, or DVC.

  • Exposure to cloud platforms (AWS SageMaker, Google Vertex AI, or Azure ML).

  • Basic understanding of Kubernetes or orchestration tools.

  • Knowledge of SQL and NoSQL databases.

Why You’ll Love This Role

  • Impact: You will see your work directly influence how models perform in the real world.

  • Growth: You’ll be mentored by senior engineers in one of the fastest-growing niches in tech.

  • Innovation: We encourage experimenting with new tools to solve the "unsolved" problems of AI reliability.

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