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Junior Ai Machine Learning Python Jobs in Montclair, NJ

Must Have Technical/Functional Skills รผ Strong experience in AI, Machine Learning, and Applied ... guide junior AI engineers and delivery teams โ€ข Support AI capability scale up across ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Proficiency in Python and ML frameworks ( PyTorch , TensorFlow , or similar). * Experience with ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Proficiency in Python and ML frameworks ( PyTorch , TensorFlow , or similar). * Experience with ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Proficiency in Python and ML frameworks ( PyTorch , TensorFlow , or similar). * Experience with ...

AI / Machine Learning Engineering Lead Company: Everest Reinsurance Company Job Category ... Expertise in Python and/or R for data analysis and model development. Familiarity with SQL and ...

Junior AI Engineer

New York, NY ยท On-site

$100K - $120K/yr

Strong Python programming skills with comfort working in a shared professional codebase ... Familiarity with deep learning frameworks ( PyTorch , TensorFlow, or JAX) and strong applied ML ...

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Junior Ai Machine Learning Python information

See Montclair, NJ salary details

$47.4K

$96.3K

$144.7K

How much do junior ai machine learning python jobs pay per year?

As of Aug 5, 2026, the average yearly pay for junior ai machine learning python in Montclair, NJ is $96,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $97,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Junior Ai Machine Learning Python jobs in Montclair, NJ look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Montclair, NJ are:
What cities near Montclair, NJ are hiring for Junior Ai Machine Learning Python jobs? Cities near Montclair, NJ with the most Junior Ai Machine Learning Python job openings:
Infographic showing various Junior Ai Machine Learning Python job openings in Montclair, NJ as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $96,341 per year, or $46.3 per hour.

AI / Machine Learning Engineer

Apogee Global RMS

Piscataway, NJ โ€ข On-site

Full-time

Posted 5 days ago


Job description

Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer vision solutions that drive innovation in identity, security, automation, and digital trust.

The ideal candidate will have strong experience developing production-grade machine learning models, working across the full ML lifecycle-from data preparation and model development to deployment and optimization across cloud and mobile environments.

Key Responsibilities:
  • Design and develop AI/ML models for computer vision, image classification, object detection, OCR, and feature extraction.
  • Build real-time image quality assessment, data processing, and intelligent capture solutions.
  • Develop and maintain data pipelines for data collection, labeling, cleaning, and augmentation.
  • Optimize ML models for cloud and mobile/on-device inference.
  • Implement fraud detection, anomaly detection, and security-focused AI capabilities.
  • Integrate ML models into production APIs and software platforms.
  • Monitor model performance and continuously improve accuracy and scalability.
  • Collaborate with engineering, product, and business teams to deliver AI-driven solutions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field (or equivalent experience).
  • 3+ years of experience building and deploying machine learning models in production environments.
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience with computer vision libraries (OpenCV) and OCR technologies.
  • Strong understanding of deep learning architectures for image and text recognition.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong problem-solving skills and ability to thrive in a fast-paced environment.
Preferred Qualifications:
  • Experience with model optimization and quantization for mobile deployment.
  • Knowledge of synthetic data generation and data augmentation techniques.
  • Background in fraud detection, anomaly detection, security, or identity technologies.
  • Familiarity with data privacy and compliance standards.
  • Experience contributing to open-source projects or AI research.
What You'll Do:
  • Build next-generation AI capabilities with real-world enterprise impact.
  • Work on innovative computer vision and machine learning challenges.
  • Partner with talented engineering teams to move AI solutions from research to production.
  • Drive improvements in accuracy, performance, and scalability.

Benefits

For any questions (OR) to apply, please contact us atย careers@apogeeglobalrms.com.