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Python Ml Developer Jobs in Fort Lee, NJ (NOW HIRING)

AI/Python Developer

New York, NY · Remote

$51.50 - $71/hr

AI/ML Engineers * Typical project teams range from 1-5 engineers * Agile delivery model with ... Expert-level Python development experience * Proven experience building scalable distributed ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer Location: Jersey City, NJ / Dallas, TX / Tampa, FL / Boston, MA Duration: 12 ... Contribute to AI/ML initiatives by building data processing components and integrating machine ...

GenAI Developer / Python

Manhattan, NY · On-site

$55.50 - $76.25/hr

Role: GenAI Developer / Python Location: New York (Onsite) Role Summary: We are seeking a ... ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management ...

Senior Python Developer

Manhattan, NY · On-site +1

$133K - $180K/yr

While the team works with data pipelines and ML-enabled systems, this role is not an MLOps or ML ... Engineer, with a strong focus on Python backend development. * 5+ years of hands-on experience ...

Enable AI/ML use cases on Snowflake, including: o Feature engineering datasets for ML models o Snowpark (Python)-based data processing o Integration with external ML platforms (Databricks / SageMaker ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

* Design, develop, test, and maintain scalable Python applications and services. * Build and support ... Support AI/ML initiatives by developing data processing components and integrating machine learning ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

o Design, develop, test, and maintain scalable Python applications and services. o Build and ... AI/ML initiatives by developing data processing components and integrating machine learning ...

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

o Design, develop, test, and maintain scalable Python applications and services. o Build and ... AI/ML initiatives by developing data processing components and integrating machine learning ...

They are seeking a Senior AI/ML Engineer to join their high-performing team, responsible for ... Python • Monitor, debug, and improve live production models • Collaborate with platform ...

Lead Python Developer

New York, NY · Remote

$143K - $176K/yr

Lead Python Developer (Expert Level) Location: Remote (But need consultant from EST time zone ... AI/ML, don't have to be expert with this but it is required to have some decent experience as this ...

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

ML Engineer ## Key Responsibilities - Lead the end-to-end design, development, and deployment of ... Python**, with basic understanding in additional languages such as Java, Scala. - Advanced ...

Showing results 21-40

Python Ml Developer information

See Fort Lee, NJ salary details

$13

$61

$90

How much do python ml developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for python ml developer in Fort Lee, NJ is $61.18, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What cities near Fort Lee, NJ are hiring for Python Ml Developer jobs? Cities near Fort Lee, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Fort Lee, NJ as of July 2026, with employment types broken down into 83% Full Time, 3% Part Time, 1% Temporary, and 13% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $127,264 per year, or $61.2 per hour.

AI/Python Developer

1 point system

New York, NY • Remote

$51.50 - $71/hr

Contractor

Posted 14 days ago


Job description

Position Summary

The AI Developer IV is a principal-level expert responsible for defining and owning enterprise-wide AI technical architecture while remaining hands-on in writing production code. This role provides organizational leadership for AI initiatives, leads highly complex and high-impact AI transformations, and serves as a trusted technical advisor to executive leadership.

The successful candidate will establish AI governance frameworks, influence long-term technology strategy, mentor senior engineering talent, and guide the adoption of emerging AI technologies across the organization. This position plays a critical role in advancing an AI-first engineering culture and driving innovation through modern software development practices.


Key Responsibilities

  • Define and lead the organization's enterprise AI architecture strategy.
  • Design, build, and deploy scalable AI-powered applications and distributed systems.
  • Provide technical leadership for large-scale AI transformation initiatives.
  • Develop production-quality software and remain hands-on with coding and solution implementation.
  • Partner with engineering, product management, research scientists, and business stakeholders to deliver strategic objectives.
  • Establish AI governance, best practices, security standards, and ethical AI frameworks.
  • Evaluate emerging AI technologies and recommend strategic investments.
  • Mentor senior engineers and cultivate future technical leaders.
  • Drive adoption of AI-assisted development tools and modern engineering practices.
  • Guide teams through architectural decisions involving cloud platforms, AI services, and data ecosystems.
  • Lead technical design reviews and influence enterprise-wide engineering standards.
  • Support multiple project teams operating in quarterly delivery cycles.

Team Environment

  • Cross-functional teams consisting of:
    • Software Engineers
    • Research Scientists
    • Product Managers
    • AI/ML Engineers
  • Typical project teams range from 1–5 engineers
  • Agile delivery model with quarterly planning and execution cycles
  • Strong focus on AI-first software engineering practices
  • Active use of AI-assisted development tooling

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 15+ years of software engineering experience
  • Extensive experience designing and implementing enterprise-scale AI solutions
  • Expert-level Python development experience
  • Proven experience building scalable distributed systems
  • Strong understanding of AI/ML technologies and modern software architecture
  • Experience designing cloud-native applications within AWS and/or GCP environments
  • Strong expertise in infrastructure automation and Infrastructure as Code (Terraform)
  • Experience leading large technical programs and influencing organizational strategy
  • Excellent communication and stakeholder management skills

Required Technical Skills

Backend Development

  • Python (required)
  • Strong backend engineering experience
  • API and microservices design

Frontend Development

  • Vue.js (preferred)
  • React or Angular acceptable

Cloud & Infrastructure

  • AWS and/or Google Cloud Platform (GCP)
  • Terraform
  • Cloud-native architecture
  • Distributed systems

DevOps & Development Tools

  • GitLab
  • CI/CD pipelines
  • Infrastructure automation

Artificial Intelligence

  • Generative AI technologies
  • AI application architecture
  • AI-assisted development tools
  • Experience with tools such as:
    • Claude
    • Codex
    • GitHub Copilot
    • Similar AI engineering platforms