1

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

AI/ML Development Analyst

Norwalk, CT ยท On-site

$100K - $150K/yr

The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python programming, SQL, and web application development . Recent college grads with this experience through ...

Lead AI Engineer (ML Ops)

Stamford, CT ยท Hybrid

$109K - $143K/yr

Strong DevOps background, including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipeline automation. * Advanced programming skills in Python, with deep familiarity in ML ...

Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ... engineering/LLM optimization, AI agent architectures. * Collaborative leader who thrives in ...

Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ... engineering/LLM optimization, AI agent architectures. * Collaborative leader who thrives in ...

Agentic AI Developer Intern

Stamford, CT ยท On-site

$27 - $30/hr

You will work closely with software engineers, AI/ML engineers, product managers, and data teams to ... Write clean, efficient, and well-documented code in Python or another modern programming language.

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

... advanced ML engineering and enterprise tool/product development, including at least 2 years ... Experience and proficiency with Python, deep learning frameworks (e.g., PyTorch, TensorFlow ...

... advanced ML engineering and enterprise tool/product development, including at least 2 years ... Experience and proficiency with Python, deep learning frameworks (e.g., PyTorch, TensorFlow ...

AI/ML Lead Engineer

Stamford, CT ยท On-site

$109K - $143K/yr

... seeking an AI/ML Lead Engineer to design and implement agents for financial advisors that ... Expert-level proficiency in Python and experience building distributed services or microservices ...

AI/ML Lead Engineer

Stamford, CT ยท On-site

$109K - $143K/yr

... seeking an AI/ML Lead Engineer to design and implement agents for financial advisors that ... Expert-level proficiency in Python and experience building distributed services or microservices ...

Software Development Engineer III

Bethpage, NY ยท On-site

$58.75 - $79/hr

Collaborate with research and product teams to translate ML models into scalable production ... Proficiency in Python, JavaScript, GIT, NodeJS, and Code Blocks * Experience optimizing AI systems ...

Software Development Engineer III

Bethpage, NY ยท Hybrid

$58.75 - $79/hr

Collaborate with research and product teams to translate ML models into scalable production ... Proficiency in Python, JavaScript, GIT, NodeJS, and Code Blocks * Experience optimizing AI systems ...

next page

Showing results 1-20

Python Ml Developer information

See Centereach, NY salary details

$13

$61

$90

How much do python ml developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python ml developer in Centereach, NY is $61.33, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $69.66 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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?

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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What cities near Centereach, NY are hiring for Python Ml Developer jobs? Cities near Centereach, NY with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Centereach, NY as of July 2026, with employment types broken down into 81% Full Time, 9% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $127,567 per year, or $61.3 per hour.
AI/ML Development Analyst

AI/ML Development Analyst

Commonfund

Norwalk, CT โ€ข On-site

$100K - $150K/yr

Full-time

Re-posted 23 hours ago


Job description

Job Title

AI/ML Development Analyst

Job Summary

Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python programming, SQL, and web application development. Recent college grads with this experience through their degree program are welcome to apply.

This role involves building intelligent systems, developing data-driven models, and integrating AI capabilities into scalable applications for business processes at Commonfund. Candidates should have a strong analytical mindset and an interest in applying AI/ML solutions within the financial domain.

Key Responsibilities

  • Design, develop, and deploy machine learning and AI-driven solutions for business and financial applications.
  • Build and implement Agentic AI systems, including autonomous workflows and multi-agent architectures.
  • Develop and maintain data pipelines, model training workflows, and inference services.
  • Analyze large datasets to extract insights and build predictive or decision-support models.
  • Design and implement APIs and web-based interfaces for AI/ML solutions.
  • Write efficient and scalable code using Python and related frameworks.
  • Use SQL to query, transform, and analyze structured data.
  • Collaborate with cross-functional teams including product, engineering, and data teams to integrate AI capabilities into applications.
  • Evaluate new AI/ML techniques, frameworks, and research for potential adoption.
  • Document models, algorithms, and system architectures.
  • Ensure solutions follow best practices for security, scalability, and reliability.

Required Qualifications

  • Bachelorโ€™s or Masterโ€™s degree in Mathematics, Data Science, Computer Science with Artificial Intelligence, or a related field.
  • Strong experience with Python programming.
  • Minimum one year hands-on experience developing machine learning or AI-based solutions.
  • Experience building or working with Agentic AI systems or autonomous AI workflows.
  • Strong knowledge of SQL and database systems.
  • Experience with web development frameworks or API development.
  • Experience with ML frameworks as TensorFlow, PyTorch, or Scikit-learn
  • Strong analytical, problem-solving, and debugging skills.
  • Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

  • Experience working with financial data and developing financial applications.
  • Experience with LLM integration, prompt engineering, and AI orchestration frameworks.
  • Knowledge of data engineering pipelines and cloud platforms (AWS, Azure).
  • Experience building production-grade AI applications.

Technical Skills

Programming & Development

  • Python
  • SQL
  • REST APIs
  • Web development (e.g., Svelte, FastAPI, or similar)
  • Experience with C# programming and other Microsoft tools preferred.

AI/ML

  • Machine learning model development
  • LLM applications
  • Agentic AI architecture
  • Data analysis and feature engineering

Tools & Platforms (preferred)

  • Git / version control
  • Cloud platforms (AWS, Azure, GCP)
  • Containerization (Docker)
  • Data visualization tools

Key Competencies

  • Analytical thinking and quantitative reasoning
  • Strong problem-solving ability
  • Curiosity and continuous learning in AI technologies
  • Ability to translate business problems into technical AI solutions
  • Interest in applying AI within the financial and investment domain