... in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) • Experience ... engineering and ML platform integration • Experience working with Snowflake for cloud-based data ...
... in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) • Experience ... engineering and ML platform integration • Experience working with Snowflake for cloud-based data ...
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 ...
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 ...
AI/ML Engineer
Manhattan, NY · On-site
... Python development skills, including experience with production-quality ML codebases • ... prompt engineering, evaluation, fine-tuning, observability • Comfort working in fast-paced ...
AI/ML Engineer
Manhattan, NY · On-site
... Python development skills, including experience with production-quality ML codebases • ... prompt engineering, evaluation, fine-tuning, observability • Comfort working in fast-paced ...
AI/ML Engineer
New York, NY · On-site +1
The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...
AI/ML Engineer
New York, NY · On-site +1
The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...
Senior ML Infrastructure Engineer
New York, NY · On-site
$118K - $161K/yr
... developer platforms, ML platforms, or integration-heavy infrastructure work. * Expert-level Python; comfortable picking up other languages as the tooling demands. * 2+ years of experience with cloud ...
Senior ML Infrastructure Engineer
New York, NY · On-site
$118K - $161K/yr
... developer platforms, ML platforms, or integration-heavy infrastructure work. * Expert-level Python; comfortable picking up other languages as the tooling demands. * 2+ years of experience with cloud ...
AI/ML Engineer
New York, NY · On-site
The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...
AI/ML Engineer
New York, NY · On-site
The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...
... in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) • Experience ... engineering and ML platform integration • Experience working with Snowflake for cloud-based data ...
... in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) • Experience ... engineering and ML platform integration • Experience working with Snowflake for cloud-based data ...
... developer with a strong systems programming background * 3-5+ years of professional experience writing production-grade C# * Experienced in interoperability scenarios - such as invoking Python ML ...
... developer with a strong systems programming background * 3-5+ years of professional experience writing production-grade C# * Experienced in interoperability scenarios - such as invoking Python ML ...
AL/ML Technical Architect
Manhattan, NY · On-site
$180K - $210K/yr
... g., Python + standard ML/DL libraries like scikit-learn, TensorFlow, PyTorch, HuggingFace) • ... engineering, MLOps, product, and business teams. - Oversee integration of data science models into ...
AL/ML Technical Architect
Manhattan, NY · On-site
$180K - $210K/yr
... g., Python + standard ML/DL libraries like scikit-learn, TensorFlow, PyTorch, HuggingFace) • ... engineering, MLOps, product, and business teams. - Oversee integration of data science models into ...
AWS Python Lead Developer
Manhattan, NY · On-site
$154K - $189K/yr
AWS Python Lead Developer (Its a backfill role) Location : NYC Duration : Long - Term Mode Of Work ... ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph ...
AWS Python Lead Developer
Manhattan, NY · On-site
$154K - $189K/yr
AWS Python Lead Developer (Its a backfill role) Location : NYC Duration : Long - Term Mode Of Work ... ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph ...
Audio ML Engineer II
New York, NY · Remote
$160K - $210K/yr
Strong programming skills in Python and model ML frameworks (PyTorch, JAX). * Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision ...
Quick apply
Audio ML Engineer II
New York, NY · Remote
$160K - $210K/yr
Strong programming skills in Python and model ML frameworks (PyTorch, JAX). * Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision ...
ML Engineer - New York
New York, NY · On-site
At Coral AI ( trycoral.ai ) , we're engineering the intelligent operating system for a more ... Proficiency with Python and ML frameworks like TensorFlow or PyTorch * Strong understanding of deep ...
ML Engineer - New York
New York, NY · On-site
At Coral AI ( trycoral.ai ) , we're engineering the intelligent operating system for a more ... Proficiency with Python and ML frameworks like TensorFlow or PyTorch * Strong understanding of deep ...
AWS Python Lead Developer
Manhattan, NY · On-site
$154K - $189K/yr
AWS Python Lead Developer (Its a backfill role) Location : NYC Duration : Long - Term Mode Of Work ... ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph ...
AWS Python Lead Developer
Manhattan, NY · On-site
$154K - $189K/yr
AWS Python Lead Developer (Its a backfill role) Location : NYC Duration : Long - Term Mode Of Work ... ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph ...
AWS Python Lead Developer
Manhattan, NY · On-site
$154K - $189K/yr
AWS Python Lead Developer (Its a backfill role) Location : NYC Duration : Long - Term Mode Of Work ... ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph ...
AWS Python Lead Developer
Manhattan, NY · On-site
$154K - $189K/yr
AWS Python Lead Developer (Its a backfill role) Location : NYC Duration : Long - Term Mode Of Work ... ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph ...
ML Engineer
Los Angeles, CA · On-site
$132K - $165K/yr
Machine Learning Engineer, Applied AI As a MLE you'll join our Product Innovations team and work ... Strong Python; comfort with the modern data/ML stack * Hands-on experience deploying and monitoring ...
ML Engineer
Los Angeles, CA · On-site
$132K - $165K/yr
Machine Learning Engineer, Applied AI As a MLE you'll join our Product Innovations team and work ... Strong Python; comfort with the modern data/ML stack * Hands-on experience deploying and monitoring ...
Senior Python Full-Stack Engineer - AI Data & Infrastructure About the Role What if your Python ... developer tooling * Background working alongside research or applied ML teams Why Join Us * Work ...
Senior Python Full-Stack Engineer - AI Data & Infrastructure About the Role What if your Python ... developer tooling * Background working alongside research or applied ML teams Why Join Us * Work ...
AI/ML Engineer Position: C2C Location ... New York, New York Duration: 12 Months Qualifications * 4+ years of experience in Python ...
AI/ML Engineer Position: C2C Location ... New York, New York Duration: 12 Months Qualifications * 4+ years of experience in Python ...
As a Principal ML Engineer at Soris, you will be responsible for driving the end-to-end development ... Strong proficiency in Python; additional experience in Golang and/or C++ is a strong plus.
As a Principal ML Engineer at Soris, you will be responsible for driving the end-to-end development ... Strong proficiency in Python; additional experience in Golang and/or C++ is a strong plus.
ML Engineer
New York, NY · On-site +1
$170K - $185K/yr
Work closely with ML engineers to accelerate the feedback loop between deployed models and training ... Python backend development (Flask, FastAPI) * Frontend development (React / React Native) * Cloud ...
ML Engineer
New York, NY · On-site +1
$170K - $185K/yr
Work closely with ML engineers to accelerate the feedback loop between deployed models and training ... Python backend development (Flask, FastAPI) * Frontend development (React / React Native) * Cloud ...
As a Software Engineer III (Machine Learning Platform Engineer) at JPMorgan Chase within the ... Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
As a Software Engineer III (Machine Learning Platform Engineer) at JPMorgan Chase within the ... Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Python Ml Developer information
See Oceanside, NY salary details
$13.64 - $20.50
1% of jobs
$20.50 - $27.35
0% of jobs
$27.35 - $34.21
2% of jobs
$34.21 - $41.06
5% of jobs
$41.06 - $47.92
11% of jobs
$49.94 is the 25th percentile. Wages below this are outliers.
$47.92 - $54.78
18% of jobs
The median wage is $58.35 / hr.
$54.78 - $61.63
24% of jobs
$66.87 is the 75th percentile. Wages above this are outliers.
$61.63 - $68.49
18% of jobs
$68.49 - $75.34
13% of jobs
$75.34 - $82.20
5% of jobs
$82.20 - $89.05
3% of jobs
$13
$60
$89
How much do python ml developer jobs pay per hour?
As of Jun 18, 2026, the average hourly pay for python ml developer in Oceanside, NY is $60.49, according to ZipRecruiter salary data. Most workers in this role earn between $49.86 and $68.70 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?
| Aspect | Python Ml Developer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related; Python, ML certifications | Bachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications |
| Work Environment | Software development teams, AI/ML projects | Research, data analysis, modeling teams |
| Employer & Industry Usage | Tech companies, startups, AI firms | Finance, healthcare, tech, research institutions |
| Common Search & Comparison | Yes | Yes |
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 Oceanside, NY look for? The top searched job categories for Python Ml Developer jobs in Oceanside, NY are:
What cities near Oceanside, NY are hiring for Python Ml Developer jobs? Cities near Oceanside, NY with the most Python Ml Developer job openings:
Full-time
Posted 19 days ago
Job description
Job Summary:
JPMorgan Chase is a leading financial services firm that is seeking a Lead Software Engineer specializing in AI/ML. In this role, you will be responsible for building, scaling, and maintaining robust machine learning platforms, collaborating with data scientists and ML engineers to deliver efficient and secure solutions that drive innovation.
Responsibilities:
• Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows.
• Develop and optimize tools for model training, deployment, monitoring, and lifecycle management.
• Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions.
• Implement secure, high-quality production code for platform services, APIs, and automation pipelines.
• Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations.
• Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement.
• Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices.
• Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services.
• Contribute to the ML platform engineering community of practice and participate in events that explore new and emerging technologies.
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure
• Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL)
• Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure
• Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring
• Experience developing APIs and platform services for ML workflows
• Solid knowledge of the software development life cycle and agile methodologies
• Ability to collaborate with cross-functional teams to deliver platform solutions aligned with business objectives
Preferred:
• Familiarity with Databricks for scalable data engineering and ML platform integration
• Experience working with Snowflake for cloud-based data warehousing and analytics
• Exposure to Snorkel AI for programmatic data labeling and training data management
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow)
• Familiarity with feature stores, model registries, and ML metadata management
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation)
• Experience with RESTful APIs and microservices architectures
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.
JPMorgan Chase is a leading financial services firm that is seeking a Lead Software Engineer specializing in AI/ML. In this role, you will be responsible for building, scaling, and maintaining robust machine learning platforms, collaborating with data scientists and ML engineers to deliver efficient and secure solutions that drive innovation.
Responsibilities:
• Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows.
• Develop and optimize tools for model training, deployment, monitoring, and lifecycle management.
• Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions.
• Implement secure, high-quality production code for platform services, APIs, and automation pipelines.
• Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations.
• Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement.
• Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices.
• Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services.
• Contribute to the ML platform engineering community of practice and participate in events that explore new and emerging technologies.
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure
• Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL)
• Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure
• Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring
• Experience developing APIs and platform services for ML workflows
• Solid knowledge of the software development life cycle and agile methodologies
• Ability to collaborate with cross-functional teams to deliver platform solutions aligned with business objectives
Preferred:
• Familiarity with Databricks for scalable data engineering and ML platform integration
• Experience working with Snowflake for cloud-based data warehousing and analytics
• Exposure to Snorkel AI for programmatic data labeling and training data management
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow)
• Familiarity with feature stores, model registries, and ML metadata management
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation)
• Experience with RESTful APIs and microservices architectures
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.