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 ...
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Lead AI/ML Developer
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... leveraging AI/ML models Key Responsibilities * Design, develop, and maintain full-stack ... Python . * Integrate GenAI models (e.g., LLMs, embeddings, prompt engineering) into web ...
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New York, NY · On-site
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Role: Python Fullstack Developer with Gen AI Location: Raritan, NJ (Onsite Role) Full Stack ... leveraging AI/ML models Key Responsibilities • Design, develop, and maintain full-stack ...
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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
Python Ml Developer information
See Middlesex, NJ salary details
$13.57 - $20.39
1% of jobs
$20.39 - $27.21
0% of jobs
$27.21 - $34.02
2% of jobs
$34.02 - $40.84
5% of jobs
$40.84 - $47.66
11% of jobs
$49.67 is the 25th percentile. Wages below this are outliers.
$47.66 - $54.48
18% of jobs
The median wage is $58.04 / hr.
$54.48 - $61.30
24% of jobs
$66.51 is the 75th percentile. Wages above this are outliers.
$61.30 - $68.12
18% of jobs
$68.12 - $74.93
13% of jobs
$74.93 - $81.75
5% of jobs
$81.75 - $88.57
3% of jobs
$13
$60
$88
How much do python ml developer jobs pay per hour?
What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?
What are some common challenges Python ML Developers face when deploying machine learning models to production?
What does a Python ML Developer do?
What is the difference between Python Ml Developer vs Data Scientist?
| Aspect | Python Ml Developer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related; Python, ML certifications | Bachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications |
| Work Environment | Software development teams, AI/ML projects | Research, data analysis, modeling teams |
| Employer & Industry Usage | Tech companies, startups, AI firms | Finance, healthcare, tech, research institutions |
| Common Search & Comparison | Yes | Yes |
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.

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.