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

Senior Python Developer

Manhattan, NY · On-site +1

$133.80K - $180.10K/yr

While the team works with data pipelines and ML-enabled systems, this role is not an MLOps or ML ... Engineer, with a strong focus on Python backend development. * 5+ years of hands-on experience ...

This is a hands-on engineering role focused on operationalizing AI/ML systems by building ... Production-grade Python, testing, and CI/CD discipline * AWS/SageMaker-based ML deployment patterns ...

Job Title: Sr. ML Engineer / ML Architect Location-Type: Remote Start Date Is: June 16 Duration ... Python-heavy environment * Some Java exposure preferred (Kafka ecosystem dependencies) * Snowflake ...

AI/ML Engineers Are you an experienced AI/ML Engineer with a strong technical foundation, a self ... Expertise in Python at a senior level with proficient React skills * Background in designing APIs ...

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 ...

Required : • Bachelor's degree required. • 2 - 5 years of hands-on ML engineering experience in a professional setting • Strong Python proficiency with production-quality coding standards • ...

Senior AI/ML Engineer

Manhattan, NY · On-site

$115K - $157.90K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... Strong programming skills in languages such as Python, SQL/NoSQL etc. * Build analytical approach ...

Senior AI/ML Engineer

Manhattan, NY · On-site

$115K - $157.90K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... Strong programming skills in languages such as Python, SQL/NoSQL etc. * Build analytical approach ...

Senior AI/ML Engineer

Manhattan, NY · Hybrid

$115K - $157.90K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... Strong programming skills in languages such as Python, SQL/NoSQL etc. * Build analytical approach ...

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 ...

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Python Ml Developer information

See Cranford, NJ salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Jun 1, 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 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 Cranford, NJ are hiring for Python Ml Developer jobs? Cities near Cranford, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Cranford, NJ as of May 2026, with employment types broken down into 1% Internship, 80% Full Time, 14% Part Time, 3% Temporary, and 2% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $124,237 per year, or $59.7 per hour.

AIML Engineer with Python, AWS Glue at Jersey City NJ _

BI-Commercial

Jersey City, NJ • On-site

Contractor

Posted 29 days ago


Job description

Role: AIML Engineer , Python, AWS Glue

Location: Jersey City, NJ

Technical Skills:

  • Python, AWS Glue, Hands-on experience in applied AI/ML engineering, backend development - databases (SQL/NoSQL/Graph), web frameworks, APIs, and microservices.

Process Skills:

Core Skills :

  • 6+ years of engineering experience with strong programming skills in Python, AWS Glue with experience in developing and maintaining production-level code.
  • Good to have hands-on experience in applied AI/ML engineering with 2+ years, with a track record of developing and deploying business-critical machine learning models and applications in production.s
  • Proficient in programming languages like Python for model development and experimentation, and integration with GenAI platform.
  • Strong collaboration and communication skills to work effectively with geographically spread cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
  • Strong problem-solving and analytical skills with emphasize on attention to detail.
  • Experience with cloud platforms, for deploying and scaling AI/ML models.

Desired skills but not mandatory:

  • Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills.
  • Knowledge of SRE practices.
  • Knowledge of large language models (LLMs) and accompanying toolsets the LLM ecosystem (e.g. Lang chain, Vector databases, opensource Models like Mistral, Llama, etc)
  • Exposure to cloud automation technologies such as Terraform
  • Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability."