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

AI/ML Engineer

New York, NY ยท 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 ...

Staff Machine Learning Engineer

Manhattan, NY ยท 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 ...

... Python development skills, including experience with production-quality ML codebases โ€ข ... prompt engineering, evaluation, fine-tuning, observability โ€ข Comfort working in fast-paced ...

AI/ML Engineer

New York, NY ยท 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 ...

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 ...

Senior ML Infrastructure Engineer

New York, NY ยท 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 ...

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 ...

AWS Python Lead Developer

Manhattan, NY ยท On-site +1

$154K - $189K/yr

AWS Python Lead Developer (Its a backfill role) Location : NYC Duration : Long - Term Mode Of Work ... ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph ...

AWS Python Lead Developer

Manhattan, NY ยท On-site +1

$154K - $189K/yr

AWS Python Lead Developer (Its a backfill role) Location : NYC Duration : Long - Term Mode Of Work ... ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph ...

... maintaining Python packages or ML libraries used by others (open source track record strongly ... Genuine care about developer experience: you write great docs and great error messages because you ...

Years of Experience 10-15 Years Job Summary We are seeking a highly skilled AI/ML Engineer with ... Proficiency in programming languages such as Python, Java, or similar. * Experience with AI ...

ML Engineer

New York, NY ยท On-site +1

$170K - $185K/yr

Work closely with ML engineers to accelerate the feedback loop between deployed models and training ... Python backend development (Flask, FastAPI) * Frontend development (React / React Native) * Cloud ...

Years of Experience 10-15 Years Job Summary We are seeking a highly skilled AI/ML Engineer with ... Proficiency in programming languages such as Python, Java, or similar. * Experience with AI ...

Sr Software Developer

New York, NY ยท On-site

$150K - $210K/yr

Work with ML researchers to develop, productionize, and deploy ML based project for clients. * Dig ... Strong background in Python and Java/C/C++. Development, packaging, patching, etc. * Debugging ...

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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 Jul 13, 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:
AI/ML Engineer

AI/ML Engineer

Soni Resources

New York, NY โ€ข On-site

$175K/yr

Full-time

Posted 12 days ago


Job description

A global organization operating within the financial and risk services sector is expanding its Enterprise Data & Artificial Intelligence function to enhance decision-making and operational performance through advanced analytics.
The Data & AI team partners across the business to design and scale innovative AI-driven capabilities that improve efficiency, optimize outcomes, and unlock new growth opportunities.
We are seeking an AI/ML Engineer to help develop and deploy machine learning solutions that generate measurable business impact.
Role Overview
The AI/ML Engineer will analyze complex data sets to uncover meaningful patterns and translate them into actionable insights using predictive modeling, data mining, and machine learning techniques. This role will collaborate closely with senior team members to design and implement scalable AI solutions across enterprise functions.
The ideal candidate is technically strong, analytically rigorous, and motivated to apply emerging AI technologies to real-world business challenges in a fast-paced, collaborative environment.
Key Responsibilities
  • Partner with senior AI/ML engineers to design, build, and deploy machine learning and deep learning solutions
  • Develop models such as classification, forecasting, propensity modeling, uplift modeling, and foundational model fine-tuning
  • Identify opportunities to enhance underwriting, claims operations, risk evaluation, customer experience, and other business processes through AI-driven insights
  • Collaborate cross-functionally with business, technology, and transformation teams to ensure scalable and production-ready implementation
  • Translate complex analytical findings into clear, actionable recommendations for non-technical stakeholders
  • Contribute to continuous improvement of modeling methodologies and deployment practices

Required Qualifications
  • Master's degree in Statistics, Data Science, Mathematics, Computer Science, Operations Research, or a related quantitative field (Ph.D. preferred)
  • 2+ years of experience applying advanced analytics and machine learning techniques (e.g., logistic regression, decision trees, neural networks, random forests, etc.)
  • 2+ years of strong hands-on experience in Python or R
  • Experience working with both structured and unstructured data, including digital and CRM datasets
  • Demonstrated ability to cleanse, integrate, and model large, complex datasets
  • Strong communication skills with the ability to explain technical findings in business terms

Preferred Qualifications
  • Internship or project experience in AI engineering, machine learning, or related quantitative disciplines
  • Experience within financial services, risk-based, or regulated industries
  • Familiarity with actuarial methodologies or domain-specific risk datasets
  • Self-motivated learner with a passion for staying current on advancements in AI and machine learning
  • Ability to thrive in a collaborative, team-oriented, fast-paced environment

Compensation: $135,000-$175,000.
Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.

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About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US