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

Axelon

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Strong background in ML/DL/LLM algorithms, model architectures, and training techniques. * Proficiency in Python, SQL, Spark, PySpark, TensorFlow, or other analytical/model-building programming ...

New

E-Solutions

Python FS Developer

Raritan, NJ · On-site

... leveraging AI/ML models Key Responsibilities * Design, develop, and maintain full-stack ... Python . * Integrate GenAI models (e.g., LLMs, embeddings, prompt engineering) into web ...

AceStack LLC

Python Developer

Edison, NJ · On-site

$51 - $70.25/hr

Strong background of ML/DL/LLM algorithms, model architectures, and training techniques. * Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming ...

Photon

GEN AI/ML Developer - Jersey

Somerville, NJ

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 ...

Wipro Limited

AI/ML Engineer

Edison, NJ · On-site

$80K - $158K/yr

Role - AI/ML Lead : We are seeking an experienced Senior Generative AI Developer to design and ... The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms ...

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

Python Ml Developer information

See Mendham, NJ salary details

$13

$58

$85

How much do python ml developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for python ml developer in Mendham, NJ is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 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, 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.

What cities near Mendham, NJ are hiring for Python Ml Developer jobs? Cities near Mendham, NJ with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Mendham, NJ as of June 2026, with employment types broken down into 86% Full Time, 6% Part Time, and 8% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,861 per year, or $58.1 per hour.

AI/ML Developer

Futran Tech Solutions Pvt. Ltd.

Edison, NJ • On-site

Full-time

Posted 11 days ago

Job description

We are looking for an experienced AI ML Developers experience in data science specializing in machine learning python statistical modelling and big data technologiespyspark sql The ideal candidate will have a strong background in developing and deploying machine learning models optimizing ML pipelines and handling largescale structured and unstructured data to drive business impact
Deep understanding of supervised and unsupervised learning including regression classification Multiclass classification clustering and NLP Proficiency in statistical analysis AB testing and causal inference techniques Experience with model deployment and MLOps in cloud environments AWS GCP
Key Responsibilities
Develop and deploy machine learning models and predictive analytics solutions for business impact
Work with largescale structured and unstructured data to extract insights and build scalable models
Design implement and optimize ML pipelines for realtime and batch processing
Collaborate with engineering product and business stakeholders to translate business problems into data science solutions
Apply statistical modeling AB testing and causal inference techniques to evaluate business performance
Apply machine learning and statistical techniques for audience segmentation helping to identify patterns and optimise business strategies
Drive research and innovation by staying updated with cuttingedge MLAI advancements and incorporating them into our solutions
Optimize data science models for performance scalability and interpretability in production environments
Mentor junior data scientists and contribute to best practices in data science and engineering

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