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

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT

$122K - $146K/yr

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · 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 ...

Gartner

Director, Data Science

Stamford, CT · Remote

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

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

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

Pwc

GenAI Python Systems Engineer-Manager

Stamford, CT · On-site

$99K - $232K/yr

... 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 ...

Pwc

GenAI Python Systems Engineer-Manager

Melville, NY · On-site

$99K - $232K/yr

... 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 ...

Bespoke Labs

Machine Learning Engineer

Norwalk, CT · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Bridgeport, CT · On-site

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 ...

Gartner

Sr Data Scientist

Stamford, CT

... 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 ...

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

... 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 ...

Franklintempleton

AI/ML Lead Engineer

Stamford, CT · 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 ...

Franklin Templeton

AI/ML Lead Engineer

Stamford, CT · 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 ...

AXA Group

Principal AI Architect

Stamford, CT · On-site

$141 - $222.20/hr

Outstanding understanding of modern ML frameworks and tools (TensorFlow, PyTorch, JAX, etc.) * Proficiency in at least one programming language (Python, Java, C++, Go, etc.) * Experience with cloud ...

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

Python Ml Developer information

See Centereach, NY salary details

$13

$61

$90

How much do python ml developer jobs pay per hour?

As of Aug 1, 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 are popular job titles related to Python Ml Developer jobs in Centereach, NY? For Python Ml Developer jobs in Centereach, NY, the most frequently searched job titles are:
What cities near Centereach, NY are hiring for Python Ml Developer jobs? Cities near Centereach, NY with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Centereach, NY as of July 2026, with employment types broken down into 81% Full Time, 7% Part Time, 1% Temporary, and 11% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $127,567 per year, or $61.3 per hour.

Data Analytics Engineer (AI)

3B Staffing LLC

Stamford, CT

$122K - $146K/yr

Full-time

Posted 21 days ago

Job description

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment, MLOps (CI/CD, monitoring, governance), cloud (Azure/AWS/GCP), API integration, and scalable data engineering (Financial Services preferred). AI Configuration & Optimization
  • Configure, fine-tune, and optimize Large Language Models (LLMs) and advanced ML models
  • Develop and manage prompt engineering frameworks, embeddings, and vector databases
  • Translate business requirements into AI-powered workflows and intelligent automation solutions
AI Implementation & Delivery
  • Deploy production-ready ML/AI models and data pipelines
  • Integrate AI capabilities into enterprise applications, APIs, and analytics platforms
  • Build scalable, end-to-end AI and data solutions aligned with business goals
  • Ensure solutions deliver measurable performance and operational impact AI Infrastructure & MLOps
  • Design and maintain MLOps frameworks including CI/CD pipelines
  • Implement model monitoring, versioning, governance, and performance optimization
  • Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads
  • Enhance reliability, security, and compliance of AI systems
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles
  • Hands-on experience with LLMs, prompt engineering, embeddings, and vector databases
  • Strong programming skills in Python (preferred)
  • Experience deploying ML/AI models into production environments
  • Solid understanding of cloud platforms (Azure, AWS, or GCP)
  • Experience building CI/CD pipelines for AI/ML systems
Preferred
  • Experience in Financial Services domain
  • Familiarity with API development and microservices architecture
  • Experience with model governance, compliance, and AI risk frameworks
  • Knowledge of scalable distributed data systems

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