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Python Ml Developer Jobs in New Brunswick, NJ (NOW HIRING)

Rebar

Senior ML Infrastructure Engineer

New York, NY · On-site

$118K - $161K/yr

... developer platforms, ML platforms, or integration-heavy infrastructure work. * Expert-level Python; comfortable picking up other languages as the tooling demands. * 2+ years of experience with cloud ...

Coral AI

ML Engineer - New York

New York, NY · On-site

At Coral AI ( trycoral.ai ) , we're engineering the intelligent operating system for a more ... Proficiency with Python and ML frameworks like TensorFlow or PyTorch * Strong understanding of deep ...

Prior Labs

ML Engineer, Open Source

New York, NY · On-site

... maintaining Python packages or ML libraries used by others (open source track record strongly ... Genuine care about developer experience: you write great docs and great error messages because you ...

Virtusa

AI Architect

New York, NY · On-site

Years of Experience 10-15 Years Job Summary We are seeking a highly skilled AI/ML Engineer with ... Proficiency in programming languages such as Python, Java, or similar. * Experience with AI ...

Visia

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

Work closely with ML engineers to accelerate the feedback loop between deployed models and training ... Python backend development (Flask, FastAPI) * Frontend development (React / React Native) * Cloud ...

Virtusa

AI Architect

New York, NY · On-site

Years of Experience 10-15 Years Job Summary We are seeking a highly skilled AI/ML Engineer with ... Proficiency in programming languages such as Python, Java, or similar. * Experience with AI ...

Morgan Stanley

Sr Software Developer

New York, NY · On-site

$150K - $210K/yr

Work with ML researchers to develop, productionize, and deploy ML based project for clients. * Dig ... Strong background in Python and Java/C/C++. Development, packaging, patching, etc. * Debugging ...

Morgan Stanley

Sr Software Developer

New York, NY · On-site

$150K - $210K/yr

Work with ML researchers to develop, productionize, and deploy ML based project for clients. * Dig ... Strong background in Python and Java/C/C++. Development, packaging, patching, etc. * Debugging ...

Soni Resources

Senior AI/ML Engineer

New York, NY · On-site

$200K/yr

We are seeking a Senior AI/ML Engineer to help design, build, and scale advanced analytics and ... Strong proficiency in Python and SQL * Experience working with both structured and unstructured ...

Photon

GEN AI/ML Developer - Jersey

Somerville, NJ

Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch. * Familiarity with natural language processing (NLP) techniques and transformer models ...

Capgemini

AI Solutions Developer

New York, NY · On-site

$55 - $75.75/hr

We are seeking a highly skilled AI Solutions Developer with strong expertise in building end to end AI/ML applications using Python and modern AI frameworks such as LangChain PyTorch and TensorFlow.

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in New Brunswick, NJ

Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for python ml developer in New Brunswick, NJ is $60.49, according to ZipRecruiter salary data. Most workers in this role earn between $49.86 and $68.70 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in New Brunswick, NJ? For Python Ml Developer jobs in New Brunswick, NJ, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in New Brunswick, NJ look for? The top searched job categories for Python Ml Developer jobs in New Brunswick, NJ are:
What cities near New Brunswick, NJ are hiring for Python Ml Developer jobs? Cities near New Brunswick, NJ with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in New Brunswick, NJ as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $125,829 per year, or $60.5 per hour.

Senior ML Infrastructure Engineer

Rebar

New York, NY • On-site

$118K - $161K/yr

Full-time

Medical, Dental, Vision

Re-posted 16 days ago

Job description

Senior ML Infrastructure Engineer
Background
Rebar is building the next-generation operating system for commercial HVAC, electrical, and plumbing suppliers and subcontractors. Over the past year, our V1 quoting product has scaled to thousands of quotes completed weekly, doubled revenue in 2026, and gained adoption across many of the top suppliers in North America. Fresh off a $14M Series A backed by leading construction tech investors, we're entering our next phase of growth - with AI at the center of everything we build next.
We're looking for a Senior ML Infrastructure Engineer to build the platform our ML engineers depend on to rapidly iterate, experiment, and ship models - spanning feature pipelines, training infrastructure, evaluation, deployment, and monitoring. You'll be joining a small, highly capable team focused on delivering practical, production-ready ML systems in a fast-moving startup context.
This role is ideal for someone who enjoys designing clean abstractions, integrating disparate systems into coherent platforms, and obsessing over the developer experience of the engineers they support. Our work spans the full ML lifecycle, and we're building the platform that makes it all hang together.
Responsibilities
Platform & Developer Experience: Design and build the CLI, SDK, and services that serve as the single front door to our ML platform. Make launching a training job, tracking an experiment, or shipping a model feel like one coherent product.
Infrastructure Integration: Wire together our cloud and SaaS stack - compute providers, storage, experiment tracking, model serving - into a unified system, codified as version-controlled infrastructure-as-code. Own the abstractions for compute orchestration, feature store, model registry, and model deployment.
Observability & Operations: Build cost attribution, usage dashboards, and monitoring across the platform. Surface what's running where, catch problems early, and keep production model serving - across detection, segmentation, recognition, and LLM/VLM workloads - reliable and cost-efficient at scale.
Collaboration and Roadmap: Work closely with ML engineers to understand their workflows, turn one-off scripts into self-serve platform features, and participate in architecture and roadmap decisions.
What We're Looking For
You should feel confident designing developer-facing APIs and SDKs, integrating disparate cloud and SaaS services into coherent systems, and obsessing over the experience of the engineers who use what you build.
We're seeking someone with strong platform-engineering instincts who enjoys turning fragmented workflows into products teams actually want to use. This role is a great fit if you have taste in abstractions, opinions about developer experience, and a track record of making ML or data teams meaningfully more productive.
Required Qualifications
  • Bachelor's degree or higher in Computer Science, Electrical Engineering, or other relevant field - or equivalent industry experience.
  • 3+ years of experience building production backend systems, with significant time on internal developer platforms, ML platforms, or integration-heavy infrastructure work.
  • Expert-level Python; comfortable picking up other languages as the tooling demands.
  • 2+ years of experience with cloud infrastructure (AWS preferred), including IAM, networking, and cost management.
  • Proficiency with infrastructure-as-code (IaC) tooling such as Terraform, AWS CDK, or Pulumi for managing reproducible, version-controlled cloud environments.
  • Hands-on experience with managed ML inference and serving platforms such as AWS SageMaker and GCP Vertex AI.
  • A proven track record operating inference at large scale across a range of model types - detection, segmentation, recognition, and LLM/VLM workloads.
  • Experience managing a model zoo / model registry - versioning, promotion, and governance of models from experiment to production.
  • Proven ability to design clean, composable APIs and SDKs that internal users adopt willingly.
  • Deep understanding of ML related workflows and requirements.

Nice to Have
  • Experience integrating common ML tooling - experiment trackers (W&B, MLflow), feature stores, model serving frameworks - into broader platforms.
  • Experience with DAG / workflow orchestration frameworks such as Temporal, Prefect, or Apache Airflow.
  • Built a Backstage-style internal developer portal or comparable internal platform.
  • Familiarity with GPU compute providers (AWS, Lambda Labs, CoreWeave, RunPod).
  • Some ML practitioner background - you've trained or deployed models yourself and understand the workflow from the user's side.
  • Experience with deployment and monitoring pipelines for ML systems.

Compensation and Benefits
  • Salary: Competitive
  • Equity: Meaningful equity package, commensurate with experience
  • Benefits: Comprehensive medical, dental, and vision coverage
  • Perks: Free lunches and dinners provided

This is a salaried, onsite role located in New York City's beautiful Flatiron district, just minutes away from Madison Square Park and Union Square. Working onsite offers invaluable opportunities for real-time collaboration, creative problem-solving, and building strong connections within our talented and dynamic team. You'll be at the heart of our fast-paced operations, actively contributing to a culture that values engagement, growth, and teamwork.

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