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

Sciemo, Inc.

AI/ML Engineer

Manhattan, NY · On-site

$180 - $270/hr

Experience with core ML/AI tools ... Python, PyTorch, TensorFlow / Keras, scikit-learn, SQL, Spark. * Experience writing production ...

eTeam

AI/ML Engineer - Generative AI

Manhattan, NY · On-site

Job Summary : eTeam is a company seeking an AI/ML Engineer specializing in Generative AI. The role ... Responsibilities : • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph ...

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 ...

Appgate

Principal Machine Learning Engineer

Manhattan, NY · On-site

$220K - $265K/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 ...

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 ...

Savant Bio

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 ...

Skydrop

Principal AI/ML Engineer - AdTech

Manhattan, NY · On-site

$300 - $400/hr

Principal AI/ML Engineer As a Principal AI/ML Engineer in our AdTech team at Zeta Global, you will ... Proficiency in Java, Go, and Python for backend services and ML tooling. * Hands‑on experience ...

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 ...

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

Python Ml Developer information

See Huntington, NY salary details

$13

$62

$91

How much do python ml developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python ml developer in Huntington, NY is $62.03, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $70.48 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 Huntington, NY look for?

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

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

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

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Huntington, NY as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $129,020 per year, or $62 per hour.

Sr. Data Engineer with ML

Accord Technologies Inc.

New York, NY • On-site

$125K - $150K/yr

Contractor

Re-posted 5 days ago

Job description

 Title: Sr. Data Engineer
Location: NYC,NY
Duration: long term
Position type: W2 contract
  
Job Description

Data Engineer with Python and hands on experience using MLFlow -  the project is to set-up experiments using MLFlow with ability to save artifacts, use MLFlow API's, configure MLFlow and Databrics funcitioning for running experiemnts..

 Job Description:

We are seeking a skilled Hybrid Data Engineer to manage and optimize our machine learning lifecycle across a hybrid environment of on-premises open-source tools and cloud-based platforms.
The ideal candidate will have experience working with MLflow, Databricks, and open-source machine learning frameworks, enabling seamless integration, experiment tracking, model management, and deployment.

Responsibilities:

  • Design, implement, and maintain a hybrid ML infrastructure that connects on-premises open-source tools with cloud platforms like Databricks.
  • Enable experiment tracking, model versioning, and lifecycle management using MLflow integrated with Databricks notebooks.
  • Manage the registration, versioning, and deployment of machine learning models across environments.
  • Collaborate with data scientists and ML engineers to streamline workflows and ensure scalable, reliable model deployment.
  • Configure MLflow servers and APIs to connect securely and efficiently with existing data sources and deployment targets.
  • Optimize data pipelines and model deployment processes for both on-premises and cloud environments.
  • Ensure best practices for reproducibility, security, and scalability in ML workflows.

Qualifications:

  • Proven experience with MLflow, Databricks, and open-source machine learning frameworks.
  • Strong understanding of data engineering, model lifecycle management, and cloud computing.
  • Experience with deploying and managing machine learning models in hybrid environments.
  • Knowledge of Apache Spark, Python, and Linux/Unix systems.
  • Excellent collaboration and communication skills.