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

PSRTEK

Senior AI Security Engineer- REMOTE

New York, NY · On-site

$125K - $171K/yr

Senior AI Security Engineer Experience: 8+ Years Location: - Boston, MA(Remote) Required ... Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and production ML pipelines · ...

Melotech

AI/ML Engineer

New York, NY · On-site

What you will do As our ML Engineer, you'll be the technical backbone powering our content platform ... Expert-level proficiency in Python, ML frameworks, and cloud platforms * Extensive experience with ...

Marencor

AI/ML Data Scientist

New York, NY · On-site

AI/ML Data Scientist Location: New York, NY Role Summary: Develop and evaluate machine learning and ... Python ( XGBoost, LightGBM, sklearn, PyTorch ) * Conduct data profiling, feature engineering, model ...

Melotech

AI/ML Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

What you will do As our ML Engineer Intern, you'll be the technical backbone powering our content ... Proficiency in Python, ML frameworks, and cloud platforms * Self-directed approach with ability to ...

1 point system

AI/Python Developer

New York, NY · Remote

$51.50 - $71/hr

AI/ML Engineers * Typical project teams range from 1-5 engineers * Agile delivery model with ... Expert-level Python development experience * Proven experience building scalable distributed ...

New

Northern Base

Snowflake Lead Data Engineering

New York, NY · On-site

$110K - $130K/yr

Enable AI/ML use cases on Snowflake, including: o Feature engineering datasets for ML models o Snowpark (Python)-based data processing o Integration with external ML platforms (Databricks / SageMaker ...

New

Xoriant Corporation

Python AI Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

Python AI Developer Client: Financial Services Location: New York, NY 10036 Long term contract ... Not looking for ML folks * Good team player and no cheating using Chat GPT etc Job details: Mission

IT America Inc

Lead Python Developer

New York, NY · Remote

$143K - $176K/yr

Lead Python Developer (Expert Level) Location: Remote (But need consultant from EST time zone ... AI/ML, don't have to be expert with this but it is required to have some decent experience as this ...

Winaxis

Lead Python Developer

New York, NY · On-site

$153K - $188K/yr

Lead Python Developer - Lead the design, development, and deployment of enterprise-grade ... ML models for advanced business insights. - Ensure solutions comply with security best practices ...

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

Starr

AI/ML Engineer

Manhattan, NY · On-site

The AI/ML Engineer will uncover meaningful data patterns and transform them into actionable ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

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 ...

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

Python Ml Developer information

See Oceanside, NY salary details

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How much do python ml developer jobs pay per hour?

As of Aug 1, 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.

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 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:
Python Ml Developer jobs near you

Lead AI/ML Developer

Saransh Inc

New York, NY • On-site

$64.50 - $84.50/hr

Contractor

Re-posted 6 days ago

Job description

Role: Lead AI/ML Developer

Location: NYC, NY (Hybrid – 3 days a week onsite)

Job Type: Contract

Responsibilities:

  • Design and implement machine learning models and algorithms for classification, regression, clustering, and recommendation systems.
  • Collaborate with data scientists, software engineers, and product teams to integrate AI solutions into production environments.
  • Analyze large datasets to extract meaningful insights and improve model performance.
  • Research and stay up to date with the latest AI trends, tools, and technologies.
  • Optimize models for scalability, performance, and accuracy.

Required Skills:

  • Bachelors or Masters degree in Computer Science, Data Science, or a related field.
  • 2+ years of experience in AI/ML development.
  • Proficiency in Python with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Strong understanding of machine learning algorithms, deep learning, and natural language processing (NLP).
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models.
  • Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, Docker).

Mandatory Skills:

  • Python
  • AI/ ML,  NLP
  • Tensor, PyTorch
  • AWS, Azure
  • Pandas, Numpy
  • CI/CD