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Python Ml Developer Jobs in East Orange, NJ (NOW HIRING)

IT America Inc

Lead Python Developer

New York, NY · Remote

$143K - $176K/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 ...

Catalyst Labs

ML Engineer

Manhattan, NY · On-site

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

Catalyst Labs

ML Engineer

Manhattan, NY · On-site

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

Whiz Global LLC

ML engineer

Jersey City, NJ · On-site

ML Engineer ## Key Responsibilities - Lead the end-to-end design, development, and deployment of ... Python**, with basic understanding in additional languages such as Java, Scala. - Advanced ...

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 ...

Photon

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and ... ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management ...

Photon

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and ... ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management ...

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 ...

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

MLabs

Senior ML Engineer

New York, NY · On-site

$300K - $375K/yr

Develop and maintain production Python systems for data collection, enrichment, feature extraction ... Full-Stack ML Engineering Capability: Strong software engineering and data pipeline fundamentals to ...

New

MLabs

Senior ML Engineer

New York, NY · On-site

$300K - $375K/yr

Develop and maintain production Python systems for data collection, enrichment, feature extraction ... Full-Stack ML Engineering Capability: Strong software engineering and data pipeline fundamentals to ...

New

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

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 ...

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Showing results 21-40

All JobsPython Ml Developer JobsPython Ml Developer Jobs in East Orange, NJ

Python Ml Developer information

See East Orange, NJ salary details

$13

$61

$90

How much do python ml developer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for python ml developer in East Orange, NJ is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $50.38 and $69.47 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?

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 are popular job titles related to Python Ml Developer jobs in East Orange, NJ? For Python Ml Developer jobs in East Orange, NJ, the most frequently searched job titles are:
What cities near East Orange, NJ are hiring for Python Ml Developer jobs? Cities near East Orange, NJ with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in East Orange, NJ as of July 2026, with employment types broken down into 81% Full Time, 8% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $127,194 per year, or $61.2 per hour.

Snowflake Lead Data Engineering

Tata Consultancy Service Limited

New York, NY • On-site

$110K - $130K/yr

Full-time

Posted 8 days ago

Job description

Must Have Technical/Functional Skills
Snowflake, Cortex AI, Python and Insurance Domain on AWS Cloud, Talend ETL
Roles & Responsibilities
The Snowflake Lead will serve as the onsite technical lead for CLEARBROOK s enterprise data platform, responsible for end to end Snowflake solution design, development leadership, and AI/advanced analytics enablement. The role requires deep hands on expertise in Snowflake, strong data engineering fundamentals, and the ability to integrate AI/ML driven use cases into the Snowflake ecosystem while coordinating with offshore teams.
Snowflake Production Support
• Perform root cause analysis for job failures and data analysis & fixes
• Perform Month End Closing Activities
Snowflake Development & Architecture
• Lead design and development of Snowflake schemas, tables, views, streams, tasks, and Snowpipes
• Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning)
• Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level security
• Oversee promotion of code across environments using CI/CD practices
Data Engineering & Integration
• Lead development of batch and near real time ingestion pipelines using Talend / Qlik Replicate / Snowpipe
• Ensure data quality checks, reconciliation, and schema drift handling
• Guide integration from insurance source systems (Policy, Claims, Billing, Reinsurance) into Snowflake
• Provide technical oversight for SQL, Python, and ELT based transformations
AI / Advanced Analytics Enablement
• Enable AI/ML use cases on Snowflake, including:
o Feature engineering datasets for ML models
o Snowpark (Python)based data processing
o Integration with external ML platforms (Databricks / SageMaker / Azure ML where applicable)
• Support AI driven insights such as:
o Claims triage & risk scoring
o Fraud detection inputs
o Premium leakage and pricing analytics
• Guide teams in using Python, SQL, and Snowflake native capabilities for data science workloads
Core Technical Skills
• Snowflake: Advanced SQL, Performance Tuning, Security, Snowpipe, Streams & Tasks
• Data Engineering: ELT/ETL patterns, data modeling, CDC concepts
• Python: Data processing, automation, Snowpark (preferred)
• Strong understanding of cloud data platform architecture (AWS preferred)
AI / Analytics Skills
• Hands on exposure to AI/ML pipelines (feature preparation, training data creation)
• Experience supporting ML models through data engineering and operationalization
• Familiarity with Python ML libraries (scikit learn, pandas, NumPy) applied from a data engineering perspective
• Understanding of model lifecycle support (data refresh, monitoring, retraining inputs)
Domain & Soft Skills
• Insurance domain experience (P&C / Specialty Insurance strongly preferred)
• Strong communication skills for onsite customer interaction
• Ability to translate business requirements into scalable data & AI solutions
Salary Range: $110,000 to $130,000 per year

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