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Python Ml Developer Jobs in Hillsborough, NJ (NOW HIRING)

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 ...

Sr Software Developer

New York, NY ยท 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 ...

Senior AI/ML Engineer

New York, NY ยท 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 ...

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 ...

We are seeking an AI/ML Software Engineer for a contract position with a Global Financial ... Design, develop, and deploy intelligent software solutions using Python and modern AI/ML techniques

Lead ML Engineer

New York, NY ยท On-site

$112K - $147K/yr

Job Summary We are seeking a Lead ML Engineer to drive the design, development, and deployment of ... Python. This role will serve as the technical leader for enterprise data science initiatives ...

AI Solutions Developer

New York, NY ยท 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.

Showing results 41-60

Python Ml Developer information

See Hillsborough, NJ salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for python ml developer in Hillsborough, NJ is $59.73, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $67.84 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 job categories do people searching Python Ml Developer jobs in Hillsborough, NJ look for?

The top searched job categories for Python Ml Developer jobs in Hillsborough, NJ are:

What cities near Hillsborough, NJ are hiring for Python Ml Developer jobs?

Cities near Hillsborough, NJ with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in Hillsborough, NJ as of August 2026, with employment types broken down into 2% Internship, 83% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $124,235 per year, or $59.7 per hour.

Gen AI / ML Full Stack Engineer, orchestration, Python/Java, RAG, LLMOps, Vectors, 12+ Mths Cont NYC

ZnA Inc

New York, NY โ€ข On-site

Contractor

Re-posted 4 days ago


Job description

 Gen AI / ML Full Stack Engineer, orchestration, Python/Java, RAG, LLMOps, Vectors, 12+ Mths Cont NYC

JPC – 3566

Level 3 : 5 to 8  Years of Industry exp

LOCATION:   New York ( 3 days hybrid, inperson interview will be needed ) 

Duration : 12+ months

Title: Gen AI / ML Full Stack Engineer , orchestration framework (Langchains etc), Python/Java, RAG, LLMOps, Adv Vectors (ColBERT/chunking), production failures, Fixed Income / Lending Platforms 12+ Mths Cont NYC

Description:

 Applied AI Engineer Overview

Morgan Stanleys Fixed Income Institutional Lending Technology team is building an enterprise grade GenAI workflow platform to enable document data extraction, embedded productivity assistants, and automated business workflows across business lines.

This is not a research or demo role.

We are seeking senior hands-on full stack engineers who have designed, built, and operated GenAI systems in production, and understand failure modes, evaluation, and governance as first class AI-powered systems.

What Youll Do Design and evolve reusable GenAI workflows used across Lending business lines.

  • Develop an enterprise grade AI-based document ingestion and data extraction capability, including traceability, confidence scoring, and human-in-the-loop review.
  • Build AI-powered assistants embedded in Lending systems using agentic workflows.
  • Deliver automated content and deck generation workflows for reporting and approvals.
  • Provide expert advice on GenAI architecture including model selection, orchestration patterns, and evaluation strategy.
  • Establish LLMOps practices: extraction accuracy, assistant reliability, prompts management, and audit monitoring.
  • Design and implement controls for entitlements, PII handling within open-source models in a regulated environment.
  • In the role you are expected to act as a hands-on technical expert, and it has a clear path to becoming a platform owner responsible for shared GenAI standards across Lending.

What Youll Bring

  • 2+, dedicated experience in practical application of GenAI solutions in an enterprise business environment.
  • Designing and operating GenAI orchestration frameworks in production beyond vendor examples (e.g., LangChain systems),
  • 5+ years of strong front-to-back engineering experience, focusing on AI ML platforms and workflows (Python or Java).
  • Proven experience building and operating production grade GenAI / LLM platforms, applying patterns such as RAG, tool/function calling, agentic workflows, and validated structured outputs.
  • Strong LLMOps expertise, including evaluation harnesses, prompt and version management, regression testing, observability, and reliability measurement in production systems.
  • Hands on experience building AI-first data ingestion pipelines with measurable quality, accuracy, and reliability.
  • Advanced retrieval experience advanced vector search, including multi vector and late interaction approaches (e.g., ColBERT, chunking), multi stage retrieval pipelines, metadata filtering, reranking.
  • Solid understanding of evaluation metrics and how they shape practical RAG system design (e.g., recall vs precision, latency vs quality, MRR, NDCG).
  • Experience operating GenAI systems through real production failures (model regressions, retrieval degradation, prompt drift, data quality issues) and designing mitigation strategies.
  • Nice to Have Fixed Income or Institutional Lending domain experience. Experience working in regulated environments with strong audit and control requirements.
  • Familiarity with enterprise security, data governance, and entitlement models.
  • Experience designing reusable internal platforms or shared developer tooling. Frontend experience is beneficial (Angular or React)