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

AI ML developer Location : Raritan, NJ Experience : 1-5 Years We are seeking an AI ML Developer ... The role focuses on building scalable Python-based backends and integrating Large Language Models ...

AI/ML Data Scientist Location: New York, NY Role Summary: Develop and evaluate machine learning and ... Python ( XGBoost, LightGBM, sklearn, PyTorch ) * Conduct data profiling, feature engineering, model ...

What you will do As our ML Engineer, you'll be the technical backbone powering our content platform ... Expert-level proficiency in Python, ML frameworks, and cloud platforms * Extensive experience with ...

Senior AI Security Engineer- REMOTE

New York, NY · On-site

$125.30K - $171.80K/yr

Senior AI Security Engineer Experience: 8+ Years Location: - Boston, MA(Remote) Required ... Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and production ML pipelines · ...

AI/ML Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

What you will do As our ML Engineer Intern, you'll be the technical backbone powering our content ... Proficiency in Python, ML frameworks, and cloud platforms * Self-directed approach with ability to ...

Lead Python Developer

New York, NY · Remote

$143.30K - $176.10K/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 ...

Lead Python Developer

New York, NY · On-site

$153.20K - $188.20K/yr

Lead Python Developer - Lead the design, development, and deployment of enterprise-grade ... ML models for advanced business insights. - Ensure solutions comply with security best practices ...

Senior AI/ML Engineer

New York, NY · On-site

$114.30K - $157K/yr

Write scalable, maintainable, and high-quality Python code for AI and ML applications * Optimize ... Advanced Python programming skills focused on AI/ML engineering and LLM application development

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Python Ml Developer information

See Middlesex, NJ salary details

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$60

$88

How much do python ml developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for python ml developer in Middlesex, NJ is $60.16, according to ZipRecruiter salary data. Most workers in this role earn between $49.57 and $68.32 per hour, depending on experience, location, and employer.

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 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 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 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 Middlesex, NJ are hiring for Python Ml Developer jobs? Cities near Middlesex, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Middlesex, NJ as of May 2026, with employment types broken down into 1% Internship, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $125,143 per year, or $60.2 per hour.

Other

Posted 19 days ago


Job description

Job Title: AI ML developer

Location: Raritan, NJ

Experience: 1–5 Years

We are seeking an AI ML Developer with a strong foundation in Generative AI (GenAI) to develop and deploy AI-enabled applications and services. The role focuses on building scalable Python-based backends and integrating Large Language Models (LLMs) into real-world workflows. The ideal candidate combines strong Python development skills with hands-on experience using APIs or frameworks like OpenAI, Hugging Face, LangChain, or LlamaIndex to create intelligent and interactive applications.

 

Key Responsibilities:

  • Develop robust, modular, and testable Python applications and APIs using frameworks like FastAPI, Flask, or Django.
  • Build backend services that consume or serve LLM responses, handle session context, and manage prompt workflows.
  • Optimize performance, concurrency, and error handling for GenAI-powered applications.
  • Integrate with LLM APIs (OpenAI, Azure OpenAI, Cohere, Gemini, Claude, Hugging Face, etc.) to build intelligent assistants, summarization tools, and AI copilots.
  • Implement Retrieval-Augmented Generation (RAG) pipelines using frameworks such as LangChain, LlamaIndex, or Haystack.
  • Engineer and manage effective prompts for tasks like Q&A, semantic search, content generation, or entity extraction.
  • Work with embedding models (e.g., Sentence Transformers, OpenAI Embeddings, BERT) to convert unstructured text into vector representations.
  • Integrate and query vector databases like FAISS, Pinecone, Weaviate, or ChromaDB to power semantic search or document retrieval.
  • Package and deploy GenAI services using Docker, Kubernetes, or AWS Lambda for scalable access.
  • Collaborate with DevOps and platform teams to integrate CI/CD pipelines, logging, and monitoring.

 

Required Skills & Qualifications

  • Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
  • 2–5 years of hands-on Python development experience, with emphasis on backend/API design.
  • Experience integrating GenAI or NLP models using OpenAI, Hugging Face Transformers, Cohere, etc.
  • Proficiency with RESTful APIs, JSON handling, and web-based integration patterns.