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

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 ...

Huntress Talent

Python Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

Software Engineers create next generation software solutions to support business areas across the ... Experience with ML techniques and statistical methods #J-18808-Ljbffr

YO AI Labs

AI/ML Engineer - Remote

New York, NY · Remote

Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

Soni Resources

Senior AI/ML Engineer

New York, NY · On-site

$145K - $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

Aismm

AI/ML Engineer

Manhattan, NY · On-site

We're hiring an AI/ML Engineer to develop machine learning models for social media automation ... Requirements Experience with Python, TensorFlow, PyTorch, and NLP . Strong background in data ...

Gain America

AI / ML Engineer - Remote (US)

Hicksville, NY · On-site +1

$135K/yr

Gain America is recruiting a AI / ML Engineer for contract and contract-to-hire engagements with ... Python, LLMs, PyTorch, RAG, vector databases, MLOps What you'll do * Build and fine-tune ML and LLM ...

Turing

Remote Python Developer

Manhattan, NY · Remote

$200 - $300/hr

... ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will ... Several years of software engineering experience (3 years or more). * Strong expertise in Python ...

ENIN SYSTEMS INC

Senior AI/ML Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Senior AI/ML EngineerIntroduction: We are seeking a highly skilled Senior AI/ML Engineer to design ... Strong programming skills in Python and experience with Java, Scala, or similar languages. * Strong ...

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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 Sep 11, 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:

Python Ml Developer jobs near you
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, 7% Part Time, and 5% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $127,025 per year, or $61.1 per hour.

Lead Software Engineer - AI/ML Java/Python

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

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Re-posted 19 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the CCB AI/ML engineering, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality AI/ML engineering production code, and reviews and debugs code written by others
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.Experience required, AI/ML engineering on AWS platform
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) like Python, Java
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience
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