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Python Ml Developer Jobs in The Bronx, NY (NOW HIRING)

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 ...

... production. - Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch ... DevOps practices applied to ML workloads (MLOps)." "- Experience with feature stores, model ...

Python Developer

Jersey City, NJ · On-site

$110 - $150/hr

* Design, develop, test, and maintain scalable Python applications and services. * Build and support ... Support AI/ML initiatives by developing data processing components and integrating machine learning ...

Work with AI Engineers to move successful solutions into production. Required Skills * Python, ML/statistics * LLMs, RAG, agents * LangChain/LangGraph * AI/LLM evaluation and LLM-as-a-Judge

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

o Design, develop, test, and maintain scalable Python applications and services. o Build and ... AI/ML initiatives by developing data processing components and integrating machine learning ...

Python Developer

Jersey City, NJ · On-site

$110 - $150/hr

... AI/ML initiatives by developing data processing components and integrating machine learning ... DevOps practices to improve software quality and deployment efficiency. o Create and maintain ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

o Design, develop, test, and maintain scalable Python applications and services. o Build and ... AI/ML initiatives by developing data processing components and integrating machine learning ...

Title - AI/ML Engineer ( Must Have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) F2F Final Round * Analyze large and complex datasets to derive ...

Title - AI/ML Engineer ( Must Have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) F2F Final Round * Analyze large and complex datasets to derive ...

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 ...

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 ...

They are seeking a Senior AI/ML Engineer to join their high-performing team, responsible for ... Python • Monitor, debug, and improve live production models • Collaborate with platform ...

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

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

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

Showing results 21-40

Python Ml Developer information

See The Bronx, NY salary details

$13

$61

$89

How much do python ml developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python ml developer in The Bronx, NY is $61.07, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $69.38 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 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 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 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 job categories do people searching Python Ml Developer jobs in The Bronx, NY look for?

The top searched job categories for Python Ml Developer jobs in The Bronx, NY are:

What cities near The Bronx, NY are hiring for Python Ml Developer jobs?

Cities near The Bronx, NY with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in The Bronx, NY as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $127,025 per year, or $61.1 per hour.

Snowflake Lead Data Engineering

Northern Base

New York, NY • On-site

$110K - $130K/yr

Full-time

Posted 22 days ago


Job description

Snowflake Lead Data Engineering
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