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

Raas Infotek LLC

Senior AI/ML Engineer

Newark, NJ · On-site

$109K - $149K/yr

Strong programming experience in Python . * Expertise in Machine Learning algorithms and model ... AI/ML certifications from AWS, Azure, Google Cloud, or Databricks are preferred. * Experience ...

New

Winaxis

Lead Python Developer

New York, NY · On-site

$153K - $188K/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 ...

Tribune Media

AI/ML Engineer

New York, NY · On-site

$90 - $110K/hr

Writing clean, well-tested Python code and contributing to shared libraries and internal tooling ... Infrastructure & DevOps: * Docker experience, comfortable containerizing ML workloads for ...

iTech US, Inc.

AI/ML Engineer (MLops)

Woodbridge, NJ · On-site

AI/ML Engineer (MLOps) Iselin, NJ 12 months Technical Expertise ML/Al Frameworks: PyTorch ... Python, C/C++, Java, SQL, Scala, GoLang, JavaScript Cloud & Infra: AWS (SageMaker, S3, Lambda ...

WOWK-TV

AI/ML Engineer

New York, NY · On-site

$90 - $110K/hr

Writing clean, well-tested Python code and contributing to shared libraries and internal tooling ... Infrastructure & DevOps: * Docker experience, comfortable containerizing ML workloads for ...

Soni Resources

Senior AI/ML Engineer

New York, NY · On-site

$210K/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

Compunnel

ML Engineer

Jersey City, NJ · On-site

Job Summary: We are seeking an ML Engineer to bridge the gap between machine learning ... Strong software engineering skills with proficiency in Python * Experience building REST APIs and ...

TMS

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

Role: AI/ ML Engineer Duration: 6 months contract Location: US/ Canada- Remote Minimum exp ... Strong programming skills in Python (mandatory) * Hands-on experience with LLMs and GenAI ...

Starr

AI/ML Engineer

Manhattan, NY · On-site

The AI/ML Engineer will uncover meaningful data patterns and transform them into actionable ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

Appgate

Principal Machine Learning Engineer

Manhattan, NY · On-site

$220K - $265K/yr

Expertise in Python , ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub ... AI / Fraud Prevention Engineering Experience: 5+ years (Staff) or 8+ years (Principal) in ML or ...

Appgate

Staff Machine Learning Engineer

Manhattan, NY · On-site

$180K - $220K/yr

Expertise in Python , ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub ... AI / Fraud Prevention Engineering Experience: 5+ years (Staff) or 8+ years (Principal) in ML or ...

Soni Resources

AI/ML Engineer

New York, NY · On-site

$175K/yr

We are seeking an AI/ML Engineer to help develop and deploy machine learning solutions that ... experience in Python or R * Experience working with both structured and unstructured data ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Cranford, NJ

Python Ml Developer information

See Cranford, NJ salary details

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$59

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How much do python ml developer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for python ml developer in Cranford, 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.

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 cities near Cranford, NJ are hiring for Python Ml Developer jobs? Cities near Cranford, NJ with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Cranford, NJ as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $124,237 per year, or $59.7 per hour.
Senior AI/ML Engineer

Senior AI/ML Engineer

Raas Infotek LLC

Newark, NJ • On-site

$109K - $149K/yr

Other

Posted 2 days ago

Job description

Job Title: Senior AI/ML Engineer

Location: New Jersey (NJ)
Experience: 12+ Years

Job Description

We are seeking an experienced Senior AI/ML Engineer with 12+ years of IT experience and strong expertise in designing, developing, and deploying Artificial Intelligence (AI), Machine Learning (ML), and Generative AI solutions. The ideal candidate should have experience building scalable AI applications, deploying ML models in cloud environments, and working with modern LLM frameworks.

Key Responsibilities
  • Design, develop, and deploy Machine Learning and Deep Learning models for enterprise applications.
  • Build scalable AI/ML pipelines for data preprocessing, model training, validation, deployment, and monitoring.
  • Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Llama, Claude, Gemini, or Mistral.
  • Implement Retrieval-Augmented Generation (RAG) architectures using vector databases.
  • Fine-tune foundation models using techniques such as LoRA, PEFT, and prompt engineering.
  • Develop AI-powered chatbots, virtual assistants, document intelligence, and recommendation systems.
  • Collaborate with Data Engineers, Data Scientists, Software Engineers, and business stakeholders to deliver AI solutions.
  • Deploy AI/ML workloads on AWS, Azure, or Google Cloud Platform using Docker and Kubernetes.
  • Build REST APIs using FastAPI or Flask to serve ML models.
  • Implement MLOps pipelines using MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
  • Optimize model performance, scalability, and inference latency.
  • Ensure AI governance, responsible AI practices, model monitoring, and security compliance.
  • Mentor junior engineers and participate in architecture and design discussions.
Required Skills
  • 12+ years of IT experience with 6+ years in AI/ML Engineering.
  • Strong programming experience in Python.
  • Expertise in Machine Learning algorithms and model development.
  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, XGBoost, and Hugging Face Transformers.
  • Experience with Generative AI, LLMs, Prompt Engineering, RAG, and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus).
  • Knowledge of LangChain, LangGraph, LlamaIndex, CrewAI, or similar AI orchestration frameworks.
  • Experience with FastAPI, Flask, or Django.
  • Strong SQL and NoSQL database experience.
  • Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Familiarity with MLOps, MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
  • Experience with Git, Jenkins, GitHub Actions, or Azure DevOps.
Preferred Qualifications
  • Experience with multimodal AI models and AI agents.
  • Knowledge of NLP, Computer Vision, Speech AI, or Recommendation Systems.
  • Experience using AWS Bedrock, Azure OpenAI, Google Vertex AI, or OpenAI APIs.
  • Familiarity with Kafka, Spark, Databricks, and Snowflake.
  • Experience with Reinforcement Learning or Graph Neural Networks is a plus.
  • AI/ML certifications from AWS, Azure, Google Cloud, or Databricks are preferred.
  • Experience working in Agile/Scrum environments.
Education
  • Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

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