Top 80 Python developer Jobs in Mount Laurel Nj

Principal Machine Learning Engineer
Delan Associates, Inc —Philadelphia, PA
- Contract
- Azure
- 3 years
- SQL
Quick Apply
Manager, Firmware Engineering
FORT Robotics —Philadelphia, PA
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
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2d
Lead Data Integration Dev-Ops / Systems Engineer
City of Philadelphia —Philadelphia, PA
- $100,000 a year
- Email
- Computer science
- Computer Science
- 5 years
- Wellness program
- Paid holidays
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Sr. Embedded Software Engineer
Smartxhire —Camden, NJ
- $150,000 - $180,000 a year
- Full-time
- Mid-level
- 3 years
- Bachelor's degree
- Health insurance
- Dental insurance
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7h
Senior Infra and DevOps Cloud Engineer - Senior Delivery Consultant, Infrastructure Engineering Solutions
Deloitte —Philadelphia, PA
- Full-time
- 5 years
- DevOps
- Office
Sr Risk Systems Developer
Community Choice Financial Family of Brands —United States
- Full-time
- Computer science
- Azure
- Computer Science
- Paid training
- Health savings account
Senior Software Engineer
TaxPlanIQ —United States
- $100,000 - $140,000 a year
- Email
- Remote
- Background check
- System design
- Java
- Health insurance
- Dental insurance
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Principal Machine Learning Engineer

Delan Associates, Inc -
Philadelphia, PA

Quick Apply

Job Details

Contract

Qualifications

AI models
Version control
Stakeholder engagement
Software engineering
Data preprocessing
Engineering development testing
Requirements design
Cloud data warehouses
Automation
Software coding
Generative models
AI platforms (beyond public GPTs)
Computational framework
SQL
Production systems
Machine learning cloud services
Machine intelligence
Production validation processes
Model deployment
Requirements analysis
Improving predictive model accuracy
Software documentation
Model training
Business requirements
Model evaluation
Machine learning frameworks
Python
MLOps
Feature engineering
Generative AI

Full Job Description

Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role will primarily focus on building, validating, deploying, and improving machine learning models, while also bringing principal-level judgment to problem definition, model design, stakeholder engagement, and production readiness.

Hands-On Model Development

Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, intervention targeting, and decision support.

Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation.

Develop practical ML models that balance predictive performance, explainability, stability, maintainability, and business usefulness.

Work with structured, semi-structured, and operational data to create model-ready datasets and reusable features.

Use tools such as Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, or similar platforms and libraries.

Move quickly from data exploration to prototype to validated model to production-ready capability.

Required Qualifications

Professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields.

5+ years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration.

3+ years of experience deploying, operationalizing, or supporting models in production or business-critical environments.

Strong hands-on experience with Python and SQL.

Experience with modern ML and data platforms such as Databricks, Spark, MLflow, Snowflake, Azure, AWS, or similar technologies.

Strong understanding of model evaluation, calibration, thresholding, score interpretation, monitoring, drift, retraining, and production ML lifecycle management.

Experience translating ambiguous business problems into concrete ML designs, model requirements, validation plans, and measurable outcomes.

Ability to explain model behavior, model performance, assumptions, limitations, and tradeoffs to both technical and non-technical stakeholders.

Strong engineering discipline, including clean code, reproducibility, versioning, testing, documentation, and maintainability.

Ability to work independently as a senior hands-on contributor while also providing technical leadership and modeling judgment.

Scoring, Scorecards, and Transparent Models

Production ML and MLOps

Product and Rapid-Build Execution

Generative AI and AI Automation

Requirement Shaping and Stakeholder Partnership

Quick Apply

Refine Your Search

python developer jobs in mount laurel nj

Principal Machine Learning Engineer

Manager, Firmware Engineering

Lead Data Integration Dev-Ops / Systems Engineer

Sr. Embedded Software Engineer

Senior Infra and DevOps Cloud Engineer - Senior Delivery Consultant, Infrastructure Engineering Solutions

Sr Risk Systems Developer

Senior Software Engineer

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