ZipRecruiter

Log In

1

Python Ml Developer Jobs in Orangeburg, NY (NOW HIRING)

WOWK-TV

AI/ML Engineer

New York, NY · On-site

$90 - $110K/hr

Writing clean, well-tested Python code and contributing to shared libraries and internal tooling ... Infrastructure & DevOps: * Docker experience, comfortable containerizing ML workloads for ...

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

Soni Resources

AI/ML Engineer

New York, NY · On-site

$175K/yr

We are seeking an AI/ML Engineer to help develop and deploy machine learning solutions that ... experience in Python or R * Experience working with both structured and unstructured data ...

Starr Insurance Companies

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 ...

Meta

Software Engineer, Systems ML

New York, NY

$154K/yr

Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring ... Mentor other engineers on ML infrastructure best practices, debugging methodologies, and ...

Starr Insurance Companies

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 ...

Rebar

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 ...

Coral AI

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 ...

The Alliance

Senior ML Engineer

New York, NY · On-site

$114K - $157K/yr

Build and operate production Python systems for data collection, enrichment, feature extraction ... Senior, self-directed ML engineer who can take an ambiguous problem from first experiment through a ...

Techvilla Solutions

Senior AWS Python Developer

Carlstadt, NJ · On-site

$122K - $165K/yr

Write clean, efficient, well-tested, and reusable Python code following software engineering best ... Experience with AI/ML frameworks and tools such as LangChain, vector databases, PyTorch, or ...

Techvilla Solutions

Senior AWS Python Developer

Paterson, NJ · On-site

$123K - $166K/yr

Write clean, efficient, well-tested, and reusable Python code following software engineering best ... Experience with AI/ML frameworks and tools such as LangChain, vector databases, PyTorch, or ...

Techvilla Solutions

Senior AWS Python Developer

New York, NY · On-site

$133K - $179K/yr

Write clean, efficient, well-tested, and reusable Python code following software engineering best ... Experience with AI/ML frameworks and tools such as LangChain, vector databases, PyTorch, or ...

Techvilla Solutions

Senior AWS Python Developer

Closter, NJ · On-site

$125K - $169K/yr

Write clean, efficient, well-tested, and reusable Python code following software engineering best ... Experience with AI/ML frameworks and tools such as LangChain, vector databases, PyTorch, or ...

previous pagenext page

Showing results 21-40

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Orangeburg, NY

Python Ml Developer information

See Orangeburg, NY salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python ml developer in Orangeburg, NY is $59.50, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $67.60 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 Orangeburg, NY look for?

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

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

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

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Orangeburg, NY as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 6% Part Time, and 7% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $123,751 per year, or $59.5 per hour.

AI/ML Engineer

WOWK-TV

New York, NY • On-site

$90 - $110K/hr

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Nexstar is looking for an ML / AI Engineer to join our growing data science team in New York City. In this role you will design, build, and deploy machine learning and agentic AI systems that power real-world products. You will work across the full ML lifecycle, including data preparation, model training, evaluation, deployment, monitoring, and iteration.

You will have the opportunity to work on both classical ML applications and agentic systems, including multi-step reasoning pipelines and connected agent architectures. We value engineers who think rigorously about problem framing and can further business objectives with ML/AI solutions.

Responsibilities include:

  • End-to-end model development and deployment for production use cases
  • Building, tuning, and evaluating agentic AI frameworks for connected, multi-step applications
  • Ownership of the full model lifecycle, including training, evaluation, containerization, deployment and monitoring
  • Maintaining cloud-based ML infrastructure on GCP or AWS
  • Writing clean, well-tested Python code and contributing to shared libraries and internal tooling
  • Collaborating with product, data engineering, and analytics teams to translate business problems into ML solutions
  • Staying up to date with current ML/AI research and advocating for the adoption of new techniques where appropriate

About You:

Education:

  • Bachelor's degree required. Math, Statistics, Computer Science, or Information Science preferred

Engineering & ML:

  • 2 - 5 years of hands-on ML engineering experience in a professional setting
  • Strong Python proficiency with production-quality coding standards
  • Solid ML fundamentals using Pandas, Scikit-learn, and XGBoost (or similar GBDT frameworks)
  • Demonstrated experience deploying models to production
  • Familiarity with Generative AI concepts: LLMs, prompt engineering, RAG, and the distinction between LLM APIs and agentic frameworks (e.g., LangChain, LangGraph)

Infrastructure & DevOps:

  • Docker experience, comfortable containerizing ML workloads for reproducible deployments
  • Cloud infrastructure experience on GCP or AWS (e.g., GCS/S3, Vertex AI, SageMaker, Cloud Run, EC2)

Preferred Qualifications:

  • Domain experience in media, advertising technology, or marketing analytics
  • Experience deploying AI/ML systems at scale, including CI/CD for ML (MLOps)
  • Databricks / Apache Spark for large-scale data processing and ML pipelines
  • Kubernetes experience for orchestrating containerized workloads
  • Experiment tracking tools such as MLflow or Weights & Biases
  • Recommender systems development, particularly using GCP recommendations or NVIDIA Merlin
  • Neural network development using PyTorch, TensorFlow, or JAX
The salary range for this position is $90-$110K.Nexstar offers full-time employees a comprehensive benefits package to include medical, life and short-term disability insurance, worker's compensation, and unemployment insurance, 401(k) retirement plan, paid holidays, paid vacation, paid sick time, employee assistance program, bereavement leave, jury duty service time off, military leave, and medical/maternity & family leave.Nexstar is committed to attracting, developing, and retaining the industry's top talent. In compliance with the provisions of all applicable state and federal civil rights laws, every effort will be made to employ the most qualified individuals without regard to race, color, religion, disability, age, sex, national origin, citizenship, veteran's status, sexual orientation, military status, or any other protected personal characteristics.Must be eligible to work in the United States. Cover letter required when applying.

Apply