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

Responsibilities Peraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic ... Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph ...

Responsibilities Peraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic ... Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph ...

Responsibilities Peraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic ... Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph ...

Responsibilities Peraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic ... Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph ...

Responsibilities Peraton Labs is seeking a Senior AI/ML Software Engineer to join the Labs Agentic ... Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph ...

Senior ML Infrastructure Engineer

Edison, NJ · On-site

$112K - $152K/yr

As the Senior ML Infrastructure Engineer the resource will own the end-to-end infrastructure layer ... BERT/DistilBERT/BGE loading, pipeline API, tokenization, Python (production) * Senior: Async ...

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Python Ml Developer information

See Lebanon, NJ salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for python ml developer in Lebanon, NJ is $59.62, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.74 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 Lebanon, NJ are hiring for Python Ml Developer jobs? Cities near Lebanon, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Lebanon, NJ as of June 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,015 per year, or $59.6 per hour.

Machine learning Engineer

Tata Consultancy Service Limited

Pennington, NJ • On-site

$105K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 hours ago


Job description

Must Have Technical/Functional Skills
MLOps & Deployment:
CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML
Model versioning, monitoring, retraining workflows
Docker, Kubernetes for deployment
Programming & Cloud:
Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
Experience on AWS/Azure/GCP ML services
Roles & Responsibilities
Looking for a strong hands-on ML Engineer with deep experience in data science, model development, and building scalable data/ML pipelines. Candidate must be technically solid, execution-focused, and able to deliver production-ready ML solutions.
Core Technical Skills Needed
ML Model Development:
Supervised models: Logistic Regression, Random Forest, XGBoost/LightGBM, SVMs
Deep learning: Neural Networks, CNN/RNN, Transformers (PyTorch or TensorFlow) Classification models and evaluation techniques (AUC, ROC, precision/recall, cross-validation)
Data Preparation & Feature Engineering: Data cleaning, handling missing values & outliers Feature scaling, encoding, time-series feature generation Strong EDA and statistical analysis skills
Data Pipeline Engineering: Build and maintain ML/data pipelines using Spark, Databricks, Airflow Data ingestion, transformation, validation (Great Expectations preferred)
MLOps & Deployment: CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML
Model versioning, monitoring, retraining workflows
Docker, Kubernetes for deployment
Programming & Cloud: Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
Experience on AWS/Azure/GCP ML services
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $105,000 - $125,000 a year